Engineering Jobs in Dedham, MA
165 positions found — Page 5
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What to Expect
Surface Warfare Officer
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Responsibilities
Surface Warfare Officers (SWOs) are involved in virtually every aspect of Navy missions. As a SWO, you may be in charge of any number of shipboard operations and activities while at sea, working with or within any of these specialized forces:
Aircraft Carrier Forces: Provide and coordinate air, submarine and surface ship defense for aircraft carriers.
Cruiser-Destroyer Forces: Provide ship attack and defensive measures with a wide array of missile and fire power capabilities, providing anti-air, -submarine and -surface warfare support.
Amphibious Forces: Embark and transport vehicles, equipment and personnel for amphibious assault operations.
Combat-Logistics Forces: Provide combatant ships with fuel, ammunition, food and supplies, and provide repair, maintenance and rescue capabilities through Fleet Support Ships.
Mine Warfare Forces: Detect, identify and neutralize threats from hostile use of maritime mines.
You may also be interested in becoming a Surface Warfare Officer within the prestigious Navy Nuclear community where you will have the opportunity to work on some of the world's most powerful nuclear-powered submarines and aircraft carriers.
Work Environment
As a Surface Warfare Officer, you will work at sea and on shore, in a variety of environments. Sea duty could place you aboard ships within the fleet. Shore duty may involve a tour of duty at the Pentagon, a student assignment at the Naval Postgraduate School in Monterey, CA, or command and management positions at shore bases and stations around the world.
Training & Advancement
Those pursuing an Information Professional Officer position are required to attend Officer Candidate School (OCS) in Newport, RI.
Unless they have already been commissioned through the Naval Academy or ROTC, those pursuing a Surface Warfare Officer position are required to attend Officer Candidate School. Newly commissioned SWOs can expect an advanced training process that includes comprehensive training at sea and ashore.
Newly commissioned Surface Warfare Officers will be assigned to a surface ship, leading a team of Sailors responsible for a component of the ship - anything from electronics to weapons to engineering systems. In this setting, Officers are working toward full Surface Warfare qualification.
After completing these initial sea tours, Surface Warfare Officers may be selected to serve on high-level staffs, commands or strategic projects or they may be selected to work in recruitment. The ultimate goal for many: to one day command their own ship.
Promotion opportunities are regularly available but competitive and based on performance.
Post-Service Opportunities
Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian sector.
Education Opportunities
Wherever you are in your professional career, the Navy can help ease your financial burdens and advance your career with generous financial assistance and continuing education programs. Beyond professional credentials and certifications, Surface Warfare Officers can advance their education by:
- Pursuing opportunities at institutions such as Naval Postgraduate School (NPS) or Navy War College (NWC)
- Completing Joint Professional Military Education (JPME) at one of the various service colleges
Qualifications & Requirements
A degree from a four-year college or university is a minimum educational requirement to become a Commissioned Officer.
There are different ways to become a SWO. If you're a high school student or an undergraduate, you can enter through the Naval Reserve Officers Training Corps (NROTC) or through the U.S. Naval Academy. Those already having a degree attend Officer Candidate School (OCS), a 12-week Navy school in Newport, RI.
All candidates must also be U.S. Citizens.
General qualifications may vary depending upon whether you're currently serving, whether you've served before or whether you've never served before.
Part-Time Opportunities
There are part-time opportunities available as a Surface Warfare Officer.
Serving part-time as a Navy Reserve Sailor, your duties will be carried out during your scheduled drilling and training periods. During monthly drilling, Surface Warfare Officers in the Navy Reserve typically work at a location close to their homes.
For annual training, Surface Warfare Officers may serve anywhere in the world, whether on a ship at sea or at bases and installations on shore.
Take a moment to learn more about the general roles and responsibilities of Navy Reserve Sailors.
Most of what you do in the Navy Reserve is considered training. The basic Navy Reserve commitment involves training a minimum of one weekend a month (referred to as drilling) and two weeks a year (referred to as Annual Training) - or the equivalent of that.
Surface Warfare Officers in the Navy Reserve serve in an Officer role. Before receiving the ongoing professional training that comes with this job, initial training requirements must first be met.
For current or former Navy Officers (NAVET): Prior experience satisfies the initial leadership training requirement - so you will not need to go through Officer Training again.
Officers who previously held a commission in another United States Military Service, National Oceanic and Atmospheric Administration, Public Health Service, or United States Coast Guard are exempt from attending ODS or LDO/CWO Academy.
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Quantitative Credit/Derivative Portfolio Manager
Quantitative Portfolio Management Team
Full-Time
Boston, MA
The Opportunity:
The Quantitative Credit/Derivative Portfolio Manager will be responsible for Credit hedging across the MassMutual General Investment Account. This includes performing daily portfolio management activities, such as rebalancing risk and evaluating tactical relative-value tradeoffs, while also contributing to the research of alternative hedging strategies employing simulation and back-testing techniques. The Quantitative Credit/Derivative Portfolio Manager will work closely with teams across Investment Management, Barings, Enterprise Risk, Corporate Finance, and Strategic Distribution.
The Team:
The Quantitative Portfolio Management (QPM) team has primary focus in asset-liability management (ALM), product pricing, and the formulation and execution of quantitative strategies that enhance policyholder surplus and mitigate unwanted risks in the portfolio. The team oversees all derivative-related aspects of MassMutual’s portfolio management process, managing exposure to interest-rates, foreign exchange rates, Credit spreads, volatility, and equity. A small and highly collaborative team, QPM works with other groups across Investment Management to manage MassMutual's product portfolios and the approximately $250 billion General Investment Account (GIA). In addition, this high-profile group works with our other internal stakeholders including product, actuarial, treasury, accounting, risk, compliance, and external partners, including our primary asset management subsidiary Barings and the major Wall Street derivative broker/dealer counterparties.
The Impact:
The Quantitative Credit/ Derivative Portfolio Manager will be accountable for the following:
- Responsible for daily portfolio management activities like execution of new hedges, roll of existing ones, and trade input as well as review of current risk, recent activity, attribution, profit and loss, and modeling of credit exposure in different portfolios
- Identify market opportunities, analyze alternative hedging strategies, propose and implement frameworks for relative value positioning, and suggest transactions, to increase hedge effectiveness for portfolio management
- Lead bespoke simulation, back-testing and/or other research projects
- Collaborate with colleagues in other areas of MassMutual as needed – enterprise risk, corporate actuarial, finance and accounting, etc.
The Minimum Qualifications:
- 7+ years of derivative market experience in at least one of the following: listed and OTC equity options, TRS, futures/forwards, CDX, interest rate swaps/swaptions, and cross- currency swaps
- 7+ years of market expertise in fixed income portfolio management, with exposure to structured & private credit
- Bachelors in Math, Financial Engineering, Computer Science or related field
The Ideal Qualifications:
- 10+ years of derivative market experience
- Advanced quantitative degree (MFE, PhD)
- Strong background/understanding of capital markets and financial instruments
- Strong quantitative expertise: statistics, mathematics, and computer science (python / SQL required)
- Ability to develop market views in Credit and Fixed-Income
- Strong understanding of portfolio management and ALM
- Deep knowledge of derivatives in all dimensions – risk, economics, tax, accounting
- Strong background/understanding of capital markets and financial instruments
- Strong understanding of portfolio management and ALM in a life insurance company
- Strong communication skills and ability to convey technical topics to non-experts
What to Expect as Part of MassMutual and the Team :
- Regular team meetings
- Focused one-on-one meetings with your manager
- Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
- Access to learning content on Degreed and other informational platforms
- Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
#LI-FT1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
The AV Supervisor will oversee daily operational activities for the Autonomous Vehicle (AV) Drive Operations Program across designated city sites. This role ensures smooth field operations, compliance with safety standards, quality of service delivery, and team performance. The AV Supervisor will work closely with local and regional leaders to ensure efficient deployment of AV fleets and consistent driver/operator management.
Key Responsibilities
- Lead, coordinate, and supervise AV Driver/Operator teams across assigned locations.
- Conduct daily shift planning, scheduling, task delegation, and attendance tracking.
- Ensure compliance with all safety, security, and operational protocols.
- Train, coach, and mentor new and existing AV operators on operational procedures and program standards.
- Conduct performance reviews, provide feedback, and manage disciplinary actions when required.
- Collaborate with cross-functional teams (Operations, Fleet, Safety, Engineering) to ensure vehicle readiness and resolve operational issues.
- Monitor site productivity metrics and implement improvements to enhance efficiency.
- Respond to on-ground escalations and operational emergencies promptly.
- Prepare weekly operational status reports and performance summaries.
- Coordinate with Fleet & Maintenance teams to ensure optimal vehicle uptime.
- Travel between Tampa, Baltimore, and Pittsburgh as operational needs require.
Qualifications
- 3+ years of experience in Operations, Transportation, Logistics, Automotive, or related field.
- Prior experience in a supervisory or lead role managing teams.
- Strong understanding of safety protocols and compliance-driven environments.
- Excellent communication, leadership, and people management skills.
- Ability to analyze performance metrics and identify process improvement opportunities.
- Comfortable working in dynamic and fast-paced field settings.
- Valid driver’s license with a clean driving record.
- Ability to travel between assigned cities as needed.
Preferred Skills
- Experience working with autonomous vehicles, fleet operations, or mobility transportation programs.
- Knowledge of incident reporting, compliance documentation, and operational audits.
- Technical aptitude to understand basic AV system operations and diagnostics
Work Environment
- Significant travel required - approximately 90% of the time across locations.
*FULL TIME ROLE
Excited to announce that we're once again working with a global client that is looking to expand it's sales team with a new experienced hire in Boston.
For this position, we're looking for a well-versed individual with proven CAPEX sales experience to the life sciences who can build upon an already existing territory by winning repeat business and new clients in Boston.
Responsibilities
- Manage and maintain client relationships in the life sciences in the Boston area as well as Virginia and Washington.
- Prospect and target potential clients in this territory.
- Manage and deliver a pipeline full of opportunities in the life sciences market.
- Serve as a key point of contact for clients and coordinate with internal stakeholders to manage expectations.
- Identify potential expansion opportunities through market research and client relationships.
Qualifications & Requirements
- Bachelor's degree in relevant markets such as Chemistry and/or Engineering.
- 5+ years of life science experience.
- 5+ years of sales experience in the life sciences.
- Valid US Driver's license.
Senior Software Engineer – Deployment & Reliability (Digital Pathology / Medical Imaging)
A fast-growing technology company operating in the digital pathology and medical imaging space is seeking a Senior Software Engineer to support the deployment, configuration, and long-term reliability of advanced imaging and AI-driven software systems.
This role sits at the intersection of software deployment, infrastructure engineering, and site reliability, ensuring complex software platforms are successfully installed, integrated with customer IT environments, and maintained at high levels of performance and stability.
You will work closely with engineering, customer support, and monitoring teams to ensure a smooth transition from system deployment to ongoing operational support while contributing to improvements that make deployments more scalable and reliable over time.
Key Responsibilities
Deployment & Configuration
- Lead end-to-end deployments of imaging, AI, and data management software systems at customer environments
- Configure and integrate servers, clusters, and storage systems within hospital or laboratory IT infrastructures
- Work with networking, authentication, storage, and security configurations to ensure successful installations
- Collaborate with field engineering teams during system installation and commissioning
- Develop standardized deployment playbooks, documentation, and validation checklists
System Reliability & Upgrades
- Manage software version rollouts, upgrades, and patching across deployed customer environments
- Work with monitoring and observability teams to track system performance and health
- Troubleshoot complex issues across multi-component systems including imaging software, AI inference pipelines, and storage layers
- Improve automation around upgrades, rollbacks, and maintenance processes
Engineering Collaboration & Continuous Improvement
- Identify recurring deployment or performance challenges and work with R&D teams to design long-term solutions
- Provide structured feedback from field deployments to improve product architecture and deployment workflows
- Validate new deployment tools, frameworks, and configuration approaches prior to wider rollout
- Contribute to improving the scalability and resilience of the overall platform
Customer IT & Cross-Functional Collaboration
- Serve as a technical liaison with customer IT teams regarding networking, infrastructure, security, and data access
- Ensure deployments comply with institutional IT policies and healthcare regulatory requirements
- Collaborate closely with support and monitoring teams to align escalation processes and root cause investigations
- Participate in post-deployment reviews to improve operational processes and reliability
Documentation & Knowledge Sharing
- Maintain detailed installation and configuration documentation
- Develop deployment guides, troubleshooting documentation, and internal knowledge resources
- Support and mentor field teams on standardized deployment and configuration practices
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related discipline
- 5+ years of experience in software deployment, DevOps, infrastructure engineering, or systems engineering
- Strong Linux (Ubuntu) administration and scripting skills
- Experience with containerization and orchestration technologies (Docker, Kubernetes)
- Experience with database technologies such as PostgreSQL or MongoDB
- Familiarity with web service configuration (Nginx or Apache)
- Solid understanding of networking concepts including VPNs, firewalls, and authentication systems
- Ability to troubleshoot complex distributed systems across software, infrastructure, and data layers
- Strong communication and collaboration skills when working with cross-functional teams and customer IT stakeholders
Preferred Experience
- Exposure to medical imaging systems, digital pathology, or healthcare technology environments
- Familiarity with DICOM or PACS systems
- Experience deploying or supporting AI/ML models in production environments
- Experience with observability and monitoring tools (Prometheus, Grafana, ELK)
- Knowledge of regulated environments and healthcare compliance frameworks (HIPAA, GDPR, IVDR)
- Experience supporting hardware and software integrated systems
Why This Role
This position offers the opportunity to work on advanced digital pathology and imaging technologies that support clinical diagnostics and research globally. The role combines hands-on technical deployment with the chance to influence how complex systems are designed, automated, and scaled across a growing global customer base.
Senior Technical Support Engineer
Location: San Francisco, CA | Raleigh, NC | Dallas, TX | Boston, MA
Schedule: Hybrid – 3 days onsite required
Employment Type: 6-Month Contract-to-Hire
Pay Rate: $65–68/hour
Start Date: ASAP
About the Role
The Technical Solutions team is focused on advancing care and research innovation. We support new business initiatives by expanding product capabilities in strategic areas and delivering a scalable technical support framework across multiple product portfolios.
As a Senior Technical Support Engineer, you will partner closely with internal stakeholders to identify, reproduce, troubleshoot, and resolve complex technical issues. You will support infrastructure, permissions, and configuration changes while delivering high-level technical support and sustaining engineering services that help customers achieve meaningful business outcomes.
This role offers the opportunity to collaborate with customers, developers, architects, and operations teams to solve challenging, high-impact problems. You will also contribute to building support tooling and infrastructure to improve operational efficiency.
Travel up to 10% may be required.
Key Responsibilities
- Own and manage technical customer issues from identification through full resolution
- Reproduce and troubleshoot complex technical problems, including reviewing and analyzing code to determine root cause
- Project manage new client deployment issues through to completion
- Implement infrastructure, security, and permissions configuration changes
- Drive operational efficiencies by identifying improvements in process, tooling, and product functionality
- Develop playbooks and knowledge base documentation to streamline issue resolution
- Create internal reports and dashboards for issue tracking and performance monitoring
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related field
- Cloud operations experience (creating buckets, virtual machines, and managing security access controls/IAM)
- 3+ years of experience with Python or another object-oriented programming language
- 3+ years of experience working with SQL
- Experience troubleshooting data-related issues
- Proficiency with GitHub and Jira
- Strong troubleshooting skills with the ability to track complex technical details
- Excellent communication skills with the ability to translate technical findings for both senior developers and non-technical stakeholders
Preferred Qualifications
- 4+ years of experience in healthcare technology
- Experience supporting highly regulated software environments
- Experience with R
- Infrastructure-as-Code (IaC) experience such as Terraform, Ansible, or similar tools
- Self-starter mindset with strong ownership and a passion for driving issues through to resolution
Role:
The Technical Product Manager, Functional AI, will lead the definition and delivery of AI solutions that transform our core business functions, including Finance, HR, Legal, Marketing, and others. This role bridges functional expertise and technical execution—partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Technical Product Manager will collaborate closely with engineers and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.
Responsibilities:
Product Management & Business Partnership:
- Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
- Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
- Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
- Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
- Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
- Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.
AI Solution Design & Delivery Support:
- Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
- Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with standards.
- Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
- Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
- Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.
Value & Impact Measurement:
- Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
- Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
- Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
- Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.
Qualifications:
- At least 5 years of experience in technical product management with a minimum of 2 years in AI-related products.
- Bachelor’s and Master’s in Computer Science, Physics, Engineering, or associated quantitative fields.
- Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing, etc.)
- Exceptional facilitation and communication skills—comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.
- Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
- Hands-on experience leading change initiatives and measuring adoption by teams.
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to articulate technical concepts to non-technical stakeholders
- Deep understanding of AI applications, tools, and methodologies
- Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
- Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
- Familiarity with the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for client use cases.
Company Description
Edensign is building the future of AI-powered visual and spatial engine. Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D understanding, and spatial intelligence to transform how real-world spaces are visualized, staged, and experienced.
Contact Email:
Role Description
Full-time | Preference for Boston based candidates
We’re looking for a senior technical leader to drive the development of our core AI engine. The ideal candidate has deep experience training large generative models, including diffusion, 3D reconstruction networks, multimodal, VLM architectures. In this role, you will spearhead model training pipelines, R&D experiments, data strategy, and foundational architecture decisions.
This is an opportunity to help build the next generation of spatial AI - from multi-view consistency to 2D-to-3D-to-2D transformation and advanced scene understanding.
Key Responsibilities
- Design, train, and optimize cutting-edge generative models, including diffusion, 3D reconstruction, and multimodal/VLM architectures
- Build and manage scalable training pipelines, data curation workflows, and experiment tracking
- Lead research experiments, benchmarking, and exploration of new modeling techniques
- Architect the evolution of our spatial AI stack—from prototyping new ideas to deploying production-ready models
- Collaborate with engineering and product teams to integrate AI capabilities seamlessly into real-world workflows
- Make strategic decisions around infrastructure, GPU utilization, model efficiency, and training optimization
- Contribute to Edensign’s long-term technical roadmap and innovation direction
Qualifications
- Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene-reconstruction networks)
- Deep background in Computer Vision, Computer Graphics, 3D geometry, NeRF-like architectures, or multi-view learning
- Familiarity with node-based generative tools (e.g., ComfyUI) is a plus
- Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
- Proficiency in Python and modern ML frameworks
- Hands-on experience with distributed training, GPU optimization, and large-scale experiment management
- Ability to work independently and lead technical direction in a fast-paced startup environment
- Strong analytical, problem-solving, and system design skills
- Excellent communication and collaboration skills
- Master’s or PhD in Computer Science, AI/ML, Computer Vision, or a related field
- Experience in real estate, architecture, spatial design, or spatial computing is a bonus
- Proficiency in Mandarin is preferred
Please note that this is a senior-level role and is full-time in-office in Boston, MA.
Groma is building the real estate coin, an on-chain asset that represents diversified ownership in a $100MM+ portfolio of buildings. We operate at the intersection of real estate and technology to unlock a new real estate asset class while making it easier for everyone, from institutional investors to the residents in our buildings, to participate in ownership. Our property technology platform uses AI and IoT to bring new efficiencies to the small unit count multifamily sector, enabling us to efficiently acquire, upgrade, and operate these 2-20 unit multifamily buildings and bring institutional performance to this massive but historically overlooked sector. Our investor technology platform makes owning these assets accessible to a broad array of investors, with bespoke vehicles available to institutional and family office investors and our flagship vehicle, the blockchain-powered Groma Real Estate Trust, available to everyone, with a special focus on enabling ownership for the residents in our buildings. Visit to learn more about us.
About the Role
This senior-level role will join a small team of software engineers that build the digital infrastructure and products that power the company. We're looking for someone that has hands-on experience building, deploying, and maintaining smart contracts in a production environment on EVM networks (Ethereum and Base), as well as experience working with a variety of token standards. Specific nice-to-haves include experience with RWAs/real estate, representing securities with compliance constraints on-chain (e.g. ERC-3643), and DeFi protocols like Uniswap.
While we're looking for an engineer with this background, please note that we also expect all engineers to be willing and able to contribute across our entire technology stack. The primary products that you'll be working on include:
- Tools that are designed to make managing our large and growing real estate portfolio highly efficient. These are tools that we use to address the tactical challenges that arise from managing distributed real estate assets as efficiently as possible while still ensuring the best possible resident experience. We use many standard technology solutions, but also IoT smart home technology and AI to solve and optimize many of our resident and maintenance tasks.
- Products that enable investors to initiate and manage their investments into Groma’s real estate funds. A primary goal of Groma is to make real estate work better for everyone. This means not only owning and managing it well, but also expanding ownership opportunities, with audiences ranging from institutional investors to the residents in our buildings.
- Infrastructure to express Groma’s property assets, investor share holdings, and REIT operations on Ethereum and other networks. Blockchain is a powerful tool for us to increase transparency, investor access, and, over time, unlock new functionality to enable our holders to get the most possible value out of owning real estate.
The most important traits for someone joining the team will be:
- Startup interest. We’re an early stage company and still have a lot left to figure out. There will be lots of ups and down, we don’t yet have all of the answers yet and you’ll be a part of finding them.
- Product mindset. As a startup, we need to be fast to identify and solve problems across the business. We do not have a product team, so we expect engineers to be comfortable working directly with stakeholders throughout the business to understand their needs and build pragmatic solutions to them.
- Technical breadth. As a small team, it’s highly valuable for each member to be able to operate across the entirety of our technology stack. This means being willing and able to work on backend and frontend development, our blockchain infrastructure, or occasionally even some spreadsheet hacking.
- Desire to move fast. As an engineering team, we care about building reliable, secure, and easily-maintainable systems, but also recognize the need to move very quickly as we operate within a fast-moving startup. This means finding the right balance between quality and delivery speed.
The core technologies that the team uses are:
- Languages: Python, TypeScript, Solidity
- Frameworks: Django, React
- Infrastructure: Google Cloud, Postgres, Ethereum
This is a role for someone that can quickly ramp up to execute independently and effectively across the range of technologies described above. You do not need to be an expert in everything mentioned, but should be very comfortable building web applications in Django or a comparable framework and at least interested in learning the rest.
About our Culture
At Groma, we’re looking to build something big and are on a fast growth trajectory. A healthy work-life balance is important to our team, but we also expect a high degree of commitment from every team member. We strive to respect individuals and their needs, while also acknowledging the reality that we have a small team that is trying to accomplish some very ambitious goals in a short period of time.
We are also focused on maintaining our dynamic in-office culture at Groma’s headquarters in beautiful downtown Boston, Massachusetts. We believe that in-person collaboration and spontaneous interpersonal interaction is critical to the company’s success at this stage. Also, our office is great! We own the whole building and have made it very much our own space - we’ve got a gym, locker rooms, a game room, a rooftop garden, and all the normal stuff to make an office an effective and fun place to be. We understand that everyone will occasionally need flexibility, but want to be explicit that this is a fully in-person role.
We have an ever-evolving list of values and conventions that guide how we operate as a company, but here are some of our core ones:
- We approach our work with pragmatic idealism that enables us to focus on our desire to make the world a better place in ways big and small while also being open to intelligent compromises that accelerate us on our path to serve our broader societal goals.
- Our whole team believes strongly that the challenges we are trying to solve require effective teams, not individual heroes.
- We have complex conversations well. We sit at the intersection of housing and blockchain policy, both nuanced topics with real world impacts. We pride ourselves on being thoughtful, seeking the best solutions to real world challenges, and implementing them effectively in the real world.
Disclaimers
While we think that this role is an amazing opportunity for the right candidate, we also want to be upfront about some of the reasons that it might not be a fit for you:
- You want to work in a partially or fully remote environment. We take great care to enable flexibility for team members, but our default will always be to be in office together.
- You just want to write code and are less interested in learning about the business. We expect engineers to spend lots of time with stakeholders figuring out what the right problems are to solve (i.e. doing "product" work), then building the solutions to them.
- Job titles are important to you or you're looking for a quick pathway into engineering management. We're a small, flat organization and intend to keep it that way for the foreseeable future. That said, there are many other types of leadership opportunities available.
- You want a highly predictable job. We're a startup and there have been and will continue to be lots of twists and turns in our story - we change direction quickly and throw a lot of things against the wall to see what sticks.
- You don't want to use AI. While there are tradeoffs that must be managed, we believe that AI-powered coding tools will transform the software engineering profession and are a powerful accelerant.
Job Benefits
- Competitive salary and bonus for the Boston area
- Early stage equity
- 5% 401k match
- 100% employer-paid premiums for high-quality health, dental, and vision insurance plans
- Fully covered commuter passes for bus, subway, boat, or commuter rail
- Unlimited PTO
- 13 official company holidays
- 1 floating holiday: We recognize that there are lots of holidays that are meaningful to different people in different ways and we want to celebrate that by enabling team members to have the time/space to commemorate those days however is appropriate, and using it as an opportunity - if they’d like to - to share the meaning of that day with the broader team
- A beautiful office in downtown Boston with a gym, locker rooms, game room, rooftop garden, and at least one catered lunch and breakfast per week
WHAT YOU'LL DO Obtain and maintain required Operator Authorizations– Demonstrate competency and maintain authorization to operate precision equipment according to company standards. Develop and validate CNC programs – Create, edit, and verify CNC programs while configuring complex fixturing for CNC and manual machines to meet production requirements. Configure machine parameters to specification – Set machine origins, work offsets, and tool lengths in accordance with technical specifications to ensure accurate production runs. Execute work to technical specifications – Perform machining operations according to blueprints, material specifications, method sheets, and written work instructions to deliver quality components. Machine components to required tolerances – Produce parts meeting exact dimensional specifications, including squareness, concentricity, parallelism, and surface finish requirements. Collaborate with Engineering on production optimization – Work with Engineering on custom projects and process improvements to enhance manufacturing efficiency and capability. Prepare and validate machine setups – Select, configure, and load tooling; perform first-piece inspections and validate setup accuracy prior to production runs. Perform quality inspections– Conduct in-process and final inspections of components using precision measurement instruments including micrometers and calipers to verify conformance to specifications. Provide technical guidance to production staff – Train and support fellow machinists on setup procedures, best practices, and job-specific requirements. Maintain equipment reliability – Perform routine preventive maintenance and troubleshoot CNC equipment issues to ensure consistent production capability. Document production activities – Record labor transactions and complete required production and quality documentation using company computer systems.
WHAT YOU BRING Minimum of 5 years proven experience as a Machinist in a precision manufacturing environment Strong ability to read blueprints and technical drawings Solid understanding of materials, tooling, and machining best practices High attention to detail and commitment to quality Strong math and problem-solving skills Ability to work independently and as part of a team Safety-first mindset and reliable work habits High school diploma or GED; vocational training or apprenticeship is an asset WHAT SETS YOU APART Experience with CAM programming (e.g., Mastercam, Fusion, Gibbs) Fixture or tooling design experience Background in aerospace, medical, or other tight-tolerance industries
Why Work Here? Because we’re not just another manufacturing plant. We offer: Competitive pay and benefits Clean, climate-controlled work environment Opportunity to work with a range of equipment and a skilled team on best-in-class, innovative products A culture that values craftsmanship, safety, and continuous improvement Strong commitment to work–life balance You’ll love our convenient location just off Route 95 in Sharon, MA, our welcoming team, and our long-standing reputation for quality and innovation. ???? If you’re a dedicated machinist who takes pride in doing things right the first time, apply now! All your information will be kept confidential according to EEO guidelines. Hourly Rate Range: $32.00-$41.00. Final rate will be determined by relevant experience, skills, and qualifications; 15% differential for 2nd shift Trade Compliance Statement Access to our facilities is restricted under the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR) to U.S. Persons (U.S. Citizens, lawful permanent residents, U.S. Nationals, U.S. refugees, asylees, or temporary residents under amnesty provisions ), and to properly licensed foreign persons. Applicants receiving a conditional offer of employment will be required to provide information to determine whether they are subject to these regulations and, if so, to assess their country of chargeability for export control purposes. Additionally, potential employee names will be screened against the Consolidated Screening List (maintained by the United States government) to determine eligibility to receive controlled technical data. To ensure there is no unexpected delay to your start date with our Company and due to the potential need to obtain an export license, we would like to promptly assess whether such a license is needed to access our facility and/or systems. Such licenses can take several weeks/months to obtain from the U.S. Government. Our Trade Compliance department may reach out to you with a Licensing Assessment form, which we request you kindly complete and return as soon as possible. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. EOE M/F/D/V/VEVRAA Federal Contractor PandoLogic. Keywords: Machinist, Location: Sharon, MA - 02067
ABOUT US
Syniti, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data.
Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy.
Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data.
THE ROLE
The Client Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition. This is a quota-carrying role, responsible for acquiring, expanding, and managing large accounts. A successful candidate will be self-motivated, highly driven, goal-oriented, and methodical. Demonstrated success and know-how across the full sales cycle from qualification to contract close is critical to success in this role.
The Client Account Executive will focus on software and services sales ultimately driving our customer’s success.
This role can be remote-based in the US (East).
WHAT YOU WILL DO
- Prospect, develop, and close new business while ensuring we have satisfied and referenceable customers.
- Sell a complete solution of software, services, and support to ensure customer success.
- Active territory management targeting specific companies and collaborating with select partners to drive incremental pipeline.
- Manage complex, enterprise-wide wide sales-cycles and effectively present our value proposition.
- Work methodically with Marketing to develop assigned territory and target account plan to create a healthy rolling 4-quarter pipeline that will yield sufficient pipeline opportunities.
- Orchestrate team selling efforts within assigned territory among Value Engineering and Consulting Delivery Services.
- Demonstrable track record for winning new customers and growing business within existing customers in a competitive environment.
- Effectively conducting sales both in person and via phone/web with high-level industry executives.
- Demonstrate in-depth knowledge of Syniti products, accounts, competitors, and industry trends to include knowledge of our key go-to-market functional areas namely Data Migration, Master Data Management, Data Quality, and Data Governance.
- Be proactive in understanding customer needs, the industry vertical, priorities, challenges, constraints, and market trends.
- Leverage executive support for sales strategy, partner leadership engagement, and field escalation resolution.
- Manage sales cycles against the goal of meeting and exceeding quarterly annual sales targets.
- Forecast, manage, and update pipeline activities using .
- Be accountable for accurate forecasting and regular sales performance reviews.
- Attend meetings, trainings, and conferences scheduled individually and for the sales team.
- Travel as required.
WHAT IT TAKES
- Bachelor’s Degree in a Business or Technology discipline would be an advantage.
- Have the legal right to live and work in the US.
- Ideally at least 7+ years of proven direct and/or indirect sales experience; software sales/service preferred (large enterprise customers).
- Experience with Sandler or similar sales methodology, preferred.
- Experience in territory and pipeline management including prospecting, driving, orchestrating, and closing complex sales cycles.
- Demonstrated value and solutions sales experience.
- Contacts with industry decision-makers including customers, Partners (SAP) and System Integrators (IBM, Accenture, Deloitte).
- Goal-oriented, with a track record of overachievement (President’s Club, Rep of the Year, etc.)
- Highly driven, possessing a strong desire to be successful.
- Disciplined and skilled in managing time and resources; sound approach to qualifying opportunities.
- Possesses aptitude to learn quickly and establish credibility.
- Detailed oriented in negotiating contracts and terms.
- Strong work ethic, hands-on style.
- Committed team player with an entrepreneurial spirit.
- Excellent written and verbal communication skills.
- Be fully aligned to our core values:
- Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have.
- Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday.
- Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day.
- Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family.
WHAT WE OFFER
- Trust in your talent. At Syniti you will find a supportive environment and access to learning tools, but micromanagement is not our style.
- Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly you will have the chance to shape our journey and share in our success story.
- Support. We all rely on each other and enable each other to be successful. You won’t stand alone.
- Curiosity and genuine interest in you. We all have our different stories, all equally fascinating with each depicting a different journey and we want to hear them all.
- Recognition. We are the sum of individual achievements, and we always take the time to celebrate them.
- An open organisation. Titles don’t define access at Syniti. We stay humble regardless of where we sit in the organisation. We want to hear every voice, listen to all the ideas and make sure everyone’s work is seen and valued.
Syniti discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to: relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Syniti, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for this role is $140,000 - $170,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
Our Commitment to Inclusion
At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team.
We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.
Our client is a U.S. based engineered manufacturing organization that designs and produces highly technical, build-to-print components for OEM customers across regulated and high-growth markets. The business is expanding vertically and is seeking a Key Account Sales Executive to lead account management and sales within this space on the east coast.
This is a true customer service role focused on the inside sales development of OEM accounts. The successful hire will maintain long-term relationships that move through engineering validation into recurring production programs. This role is heavily focused on account management and customer service rather than business development.
The role works closely with engineering and operations and is suited to someone comfortable navigating long, technical sales cycles within regulated environments.
Key Responsibilities:
- Serve as the primary commercial point of contact for assigned OEM customers
- Focus on equipment manufacturers within the industrial manufacturing space
- Work closely with internal engineering teams once opportunities enter testing and development
- Align customer outlooks with internal capacity and inventory planning
- Manage complex sales cycles involving technical, quality, and commercial stakeholders
Compensation:
- Competitive base salary with flexibility for the right candidate
- Uncapped incentive plan aligned to opportunity creation and new business development
- Long-term upside tied to conversion of opportunities into recurring production business
Required Skills:
- Minimum of 3 years proven experience within customer service or account management
- Background selling engineered components, materials, or build-to-print products
- Comfortable with long sales cycles, validation processes, and technical buying groups
- Strong account management and customer service skills
- Able to engage credibly with engineering, quality, and operations stakeholders
Life Sciences DeltaV Practice Leader
Role Overview
This role is responsible for building and scaling an organic Life Sciences DeltaV automation practice. The position is designed for a senior leader who can establish a new capability from the ground up, starting with initial talent acquisition and growing into a high‑performing team and standalone "mini business."
The successful candidate will lead technical delivery, shape best practices, support client growth, and take ownership of developing a sustainable DeltaV life sciences offering within a broader engineering and technology organization.
This is a highly entrepreneurial role that combines deep technical expertise, people leadership, and commercial accountability.
Key Responsibilities
Practice & Team Development
- Build and scale an organic Life Sciences DeltaV capability, starting with initial hires and expanding into a dedicated delivery team.
- Recruit, mentor, and develop DeltaV and automation engineers, setting standards for quality, delivery, and utilization.
- Establish scalable delivery models, including reusable libraries, templates, and methodologies to accelerate team productivity.
- Serve as the senior technical authority for DeltaV‑based life sciences automation work.
Technical & Delivery Leadership
- Lead complex life sciences automation projects, including greenfield, brownfield, and major DeltaV upgrade initiatives.
- Provide subject‑matter expertise in DeltaV batch automation and S88 concepts (recipes, phases, unit operations, equipment modules).
- Oversee the full automation lifecycle: URS, FDS/DS, configuration, FAT, SAT, commissioning, and support through IQ/OQ/PQ.
- Interface with adjacent systems such as MES, historians, data platforms, skids, and clean‑utility controls.
Client Engagement & Growth
- Act as a trusted advisor to client stakeholders across engineering, manufacturing, quality, and global SME teams.
- Support pre‑sales efforts, including technical solutioning, LOE development, scope definition, and client presentations.
- Help grow client relationships from initial engagements into multi‑site or long‑term programs.
Commercial & Entrepreneurial Ownership
- Take accountability for delivery performance, margins, utilization, and overall practice health.
- Contribute to scoping, SOW development, pricing awareness, risk management, and change‑order control.
- Operate with an ownership mindset, comfortable building from a low base and scaling responsibly over time.
Required Experience & Background
Core Experience
- 10-15+ years of experience in life sciences manufacturing environments, including biologics, sterile/aseptic, vaccines, or high‑potency facilities, with a strong GMP track record.
- 8-10+ years of hands‑on Emerson DeltaV experience in pharma or biotech, with progression from engineer to technical lead or manager.
- Recent experience delivering complex DeltaV projects (greenfield, brownfield, or major upgrades).
Leadership & Prior Roles
- Previous roles may include DeltaV Lead, Automation Manager, Senior Manager, or Associate Director within a pharma site, CDMO, or life‑sciences‑focused system integrator.
- Demonstrated experience managing technical teams and external vendors, including performance management and development.
- Proven ability to hire and build high‑quality automation teams and define what "good" looks like for billable DeltaV engineers.
Technical Expertise
- Deep understanding of batch automation and S88 architecture applied to biologics and aseptic manufacturing.
- Experience across the full validation lifecycle, including IQ, OQ, and PQ support.
- Familiarity with the broader automation ecosystem supporting regulated manufacturing environments.
Desired Attributes
- Maintains a strong professional network of DeltaV engineers, batch specialists, and control system SMEs that can be leveraged to build a team within 6-12 months.
- Comfortable creating standards, templates, and delivery frameworks that enable junior engineers to become productive quickly.
- Strong communicator who can work effectively with both technical and non‑technical stakeholders.
- Naturally entrepreneurial, motivated by building teams, capabilities, and long‑term value.
Location
- US‑based, preferably located in or near a major life sciences hub such as Boston/Cambridge, NYC/Northern NJ, Philadelphia, RTP, the Bay Area, Chicago, or the MD/DC corridor.
We offer competitive pay, training and growth opportunities and a positive work environment.
Main Duties & Responsibilities: Follow proper testing & diagnostic procedures to accurately solve vehicle issues Maintain a clean, safe working environment Perform basic auto care and maintenance tasks such as oil changes, fluid level checks, and tire rotation Perform emissions inspections, safety checks and similar state-regulated vehicle examinations Test the functionality of parts and systems Repair brake and steering systems Diagnose and repair electrical and electronic systems Replace or repair transmissions and fuel components as needed Repair cooling components and systems including air conditioners and engine cooling Complete tire changing, balancing, and installation Prepared to get additional certification as needed Willingness to learn with hands-on training Communicate effectively with Service Advisor about vehicle status and required parts and labor Explain automotive repairs and issues to non-technical employees and customers as needed Uphold the culture and values of our independently owned shop.
Qualifications: Possess a valid state driver’s license for conducting test drives High school diploma or equivalent education, advanced technical education preferred Possession of or ability to obtain ASE certification Strong written and verbal communication skills Analytical skills Coordination and physical stamina When you join the team at your local, independently owned TechNet Professional Service Center, you’ll be working with a shop that takes pride in what they do.
A local shop in your community, backed by the support of a Nationwide network.
That is just part of what sets a TechNet Automotive Service Center apart from the rest.
Come join #TechNetNation!
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
About the Company
Lumia is a well-funded startup building the next evolution in wearable health technology. We operate at the intersection of hardware, software, machine learning, and medical science - translating complex physiological signals into clear, actionable insights that help people better understand and manage their bodies. Our first mission was focused on improving the lives of individuals with dysautonomia and blood flow disorders, including POTS, ME/CFS, Orthostatic Hypotension, and Long COVID. These are all deeply underserved communities actively searching for better tools. As we scale, we are transforming into a general wellness wearables company - expanding reach and scope to new markets. Our founding team includes repeat entrepreneurs and ex-Bose engineers (our CEO’s last company was acquired by Bose, leading to the global launch of Bose Sleepbuds). We value rigor, ownership, velocity, and kindness. We are collaborative, high-performing, and serious about the work. The majority of the team is currently co-located in Boston, MA, with some remote roles. Opportunity for a remote role is dependent on the candidate and hiring manager approval.
About the Role
We are hiring our first Product Manager to own and scale the software experience that connects our wearable hardware to our members’ daily lives. This is not a feature-factory role. You will combine strategic thinking with hands-on execution to build engaging, habit-forming digital health experiences grounded in biometrics and real physiological data. You will work directly with the CEO, engineering, data science, and design to define roadmap, improve product operations, and translate complex sensor data into simple, meaningful insights. You will help establish the product function - including prioritization frameworks, release discipline, experimentation and user interview rigor, and product analytics foundations, all while shipping high-quality mobile and web features at a steady cadence.
Responsibilities
- Own the Software Roadmap and Development Lifecycle
- Partner with the CEO to shape and continuously refine the software roadmap, balancing near-term member value with long-term vision.
- Lead end-to-end product development: problem framing → wireframes → specs → sprint execution → QA → release.
- Write clear, well-scoped product tickets that reduce ambiguity and accelerate engineering velocity.
- Triage issues beyond surface-level symptoms by investigating root causes, proposing hypotheses, and suggesting solutions.
- Wearing and using the wearable daily to form first-person opinions on product priorities is part of the job.
- Manage release operations (Dev → Staging → Production), feature flags, and UAT.
- Define hypothesis-driven success criteria for each release, and evaluate features and usage.
- Lead the product marketing and GTM lifecycle of releases, partnering closely with Marketing.
- Build and refine light, scalable product operations processes to maintain clarity and alignment.
- Establish product strategy rhythms (quarterly planning, roadmap reviews, prioritization frameworks).
- Stay ahead of the competitive landscape in digital health, wearables, and remote diagnostics to inform future product strategy.
- Champion the User Experience
- Translate Lumia’s wearable capabilities into a cohesive, differentiated mobile experience.
- Deeply engage with members and patient communities to validate feature definitions and uncover unmet needs.
- Apply behavioral science principles to design habit-forming features, thoughtful in-app copy, and personalized experiences.
- Partner closely with Algorithm and Data Science teams to translate time-series biometric data and ML outputs into understandable, trustworthy insights.
- Define and track core KPIs (daily active wearers, retention, engagement, satisfaction).
- Instrument features and build dashboards, be able to define product analytics and maintain them.
- Partner closely with Support and Research to understand needs and build for success.
Qualifications
- 5 - 7 years of software product management experience.
- Strong mobile app product experience (iOS, Android, or cross-platform).
- Meaningful experience in wearables, biometrics, digital health, or health-tech strongly preferred.
- Experience building products that integrate with hardware or sensor-driven data.
- Demonstrated success shipping engaging, data-driven consumer products.
Required Skills
- Comfortable working with data and analytics as a product and collaborating with ML / algorithm teams.
- Familiar with core data science concepts (training/test sets, statistical significance, correlation, etc.).
Preferred Skills
- Thrive in ambiguity and bring structure to chaos.
- Operate with high ownership and accountability.
- Care deeply about clarity, prioritization, and execution quality.
- Motivated by impact and craftsmanship over titles.
Benefits Packages
- Equity upside
- Retirement plan (401k)
- Health, dental, and vision insurance reimbursement
- Commuter benefits
- Pastry Fridays
Interview Process
- Introductory Conversation (30 minutes)
- A conversation with the CEO to discuss your background, what excites you about Lumia, and high-level expectations for the role.
- Product Deep Dive (60 minutes)
- A slide-based presentation to stakeholders focused on a specific effort where:
- You detail what you’ve shipped (strategy, tradeoffs, metrics, what you’d do differently)
- How you approached an ambiguous problem space
- How you prioritized and made decisions under constraints
- Case Exercise (live: 60 min prep, 60 min together)
- You’ll be given some loose thoughts on an opportunity or idea and asked to bring initial structure, thinking, and proposal to the table for discussion with the team. We will email the scenario about 1 hour
Job Title: Cloud Developer
Location: Boston, MA
Job Type: Full-Time
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.
Additional Skills & Qualifications
- Experience building or supporting ETL pipelines using AWS Lambda, Step Functions, Glue, and/or EventBridge.
- Familiarity with IoT/telemetry data flows (device-to-cloud) and schema evolution patterns.
- Experience with observability (logs/metrics/alerts), operational excellence practices, and on-call readiness.
Work Environment
This role operates in a dynamic environment focusing on AWS technologies, including Amazon Athena, S3, QuickSight, CloudWatch, and AWS CDK. The position requires a high level of collaboration across teams, with a strong emphasis on quality and operational excellence. You will engage in cross-functional projects and contribute to the end-to-end analytics solutions within a fast-paced setting.
Postdoctoral Bioinformatics Fellow
Cancer Genomics
Seeking a Postdoctoral Bioinformatics Fellow (Computational Cancer Genomics) for a prestigious academic institution located in Boston, MA.
Salary: $70,000-75,000/year
Employment Type: Full Time; Direct Hire
Job responsibilities include:
- Conduct large-scale data analysis to decode the genomic principles underlying tumor development and identify actionable lesions for precision medicine.
- Design, develop, and implement advanced computational algorithms to identify both coding and noncoding drivers within complex cancer genomes.
- Utilize and enhance computational platforms to design driver-directed combination therapies and innovative cancer treatments.
- Collaborate on clinical studies to integrate genomic findings into patient care, specifically focusing on improving early-stage diagnoses and PET/CT imaging interpretation.
- Stay at the forefront of sequencing technologies to maximize their clinical utility in genome-inspired diagnostics.
Qualifications:
- PhD in computational biology, biostatistics, genetics or a related scientific field.
- Strong programming experience preferably in Python, R, Java, C++ or Matlab.
- Strong publication record and scientific writing skills.
- Demonstrated skills in analysis of genomics data including Somatic mutation data, cancer genomics, and/or cancer biology.
Senior Buyer
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
Our Mission
At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
What You’ll Do:
- We are seeking an experienced Senior Buyer for an operational procurement role focused on P2P execution, supplier communication, and tactical sourcing support across Humanoid’s direct material commodity. The role supports the Procurement Manager, you will partner with teams in London, Boston, and Vancouver in delivering continuity of supply, cost performance, and operational excellence across Mechanical, Electronics, Electromechanical, Cables & Harnessing, and Software commodities.
- Operational Responsibilities
- Conduct market research to identify cost‑saving opportunities and understand price trends and supply risks.
- Support sourcing initiatives, including RFx processes, negotiations, and contract execution.
- Drive cost, lead‑time, and efficiency improvements with measurable KPIs.
- Capture business requirements and translate them into clear commercial packages.
- Negotiate optimal commercial terms (pricing, payment terms, lead times, Ts & Cs).
- Conduct price analysis and cost‑breakdown validation to ensure fair and equitable pricing.
- Process requisitions and purchase orders in line with procurement policies.
- Maintain accurate PO and supplier data within SAP and associated systems.
- Resolve supplier performance issues, discrepancies and understand the escalation process.
- Communicate to internal stakeholders as appropriate.
- Minimize risk to continuity of supply by carrying out supplier risk assessments for the portfolio’s suppliers and implementing corrective actions as required.
- Support continuous improvement of procurement processes, documentation, and tools.
- Deliver KPI’s relating to cost, cash, quality, service and continuity of supply for the commodity proposals.
- Run MRP (SAP) and ensure timely availability of direct goods and services.
- Experience of implementing Supplier Relationship Management techniques / tools with suppliers (RMMs, Score Cards, Monthly Performance Reviews (MPRs), Communications Plans, Risk Management, DnB report, Sanctions list etc.)
- Support Production, Engineering, Quality, and Planning teams to meet manufacturing needs.
- Directly support the Procurement Managers in the regional area
- This role supports the Commodity teams in sourcing activities but does not own commodity strategy or supplier selection decisions
We’re Looking For:
- Experience & Qualifications
- 5+ years of direct procurement experience, ideally in manufacturing, robotics, technology, aero /defense or automotive
- Proven experience working within scaling direct procurement functions.
- Degree in Business, Law, Engineering, or related field.
- CIPS (MCIPS) Level 5 or equivalent; APICS CPIM desirable.
- Strong understanding of contract law, commercial terms, and negotiation frameworks.
- Awareness of export controls (including EAR) relevant to robotics and technology.
- Technical Skills
- Proficient in Google Workspace, Slack, and database management.
- Experience with MRP/ERP systems; SAP highly desirable.
- Good analytical, numerical, and planning capabilities.
- A good understanding of the Legal Aspects associated with contracting within the Robotics & AI industry
- Procure-2-Pay and tactical procurement experience (Essential) across the following direct commodities pillars
- Mechanical Systems
- Electronics & Electrical
- Electromechanical Systems
- Cables & Harnessing
- Software & Digital Licensing (P2P support)
- Behavioral Skills
- Good negotiation, influencing, and stakeholder‑management skills.
- Ability to work cross‑functionally in a fast‑paced, engineering‑driven environment.
- Highly organized, adaptable, and able to manage shifting priorities.
- Professional, motivated, and able to operate autonomously.
What We Offer:
- Competitive salary plus participation in our Stock Option Plan
- Paid vacation with adjustments based on your location to comply with local labor laws
- Travel opportunities to our London and Vancouver offices
- Comprehensive health insurance coverage
- Freedom to influence the product and own key initiatives
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
- Startup culture prioritising speed, transparency, and minimal bureaucracy
Job Title: Cloud Automation Engineer
Location: Boston, MA
Employment Type: Full-Time
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.