Engineering Village Jobs in Berkeley, CA
388 positions found — Page 29
J
Senior Data Scientist (Econometrics)
🏢 Jobot
Salary not disclosed
100% Remote! PhD required This Jobot Consulting Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $80
- $150 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical.
You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $80
- $150 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical.
You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Data Scientist (Clinical Asset Management)
🏢 Jobot
Salary not disclosed
100% Remote! PhD Required! This Jobot Consulting Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $80
- $200 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical.
You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Experience in US Healthcare
- with Clinical Asset Management Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $80
- $200 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical.
You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Experience in US Healthcare
- with Clinical Asset Management Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
A
Construction Project Manager
Salary not disclosed
Our client is a renowned research and care facility with a focus on corporate social responsibility needs a Construction Project Manager who is highly organized with an exceptional ability to plan and prioritize project details to be the central point of contact for all things related to the completion of construction projects related to the properties.
Job Description
The Construction Project Manager will oversee planning, design, scheduling, budgeting, contract administration and management for construction projects large and small for the Northern California portfolio. The Construction Project Manager ensures completion of projects within budget, on schedule, while meeting all program objectives and appropriate governmental regulations. The Construction Project Manager acts as a liaison between the client/users and all other project participants including consultants, contractors, vendors, and outside jurisdictional agencies. Construction Project Manager will manage these projects from start to completion, with full budgetary and schedule responsibility. Other responsibilities include:
Responsibilities:
- Assesses, and documents project scope and program, describing the objectives, physical requirements, parameters, and constraints of the project, including not only the user's functional needs but also external jurisdictional criteria for health and safety, operation, maintenance, energy efficiency, quality standards, contextual issues, and aesthetics.
- Implements quality control measures to ensure project compliance with department, company policies, government codes and regulations; also ensures conformance to the requirements of all project participants.
- Maintains communications on a regular and timely basis, ensuring that all project participants are informed of project status, problems, and required actions.
- Manages the process of furnishing and equipment selection, purchasing, and installation.
- Manages the review and approval process to ensure appropriate approvals of all design work from schematic studies through final construction documents and related field changes and changes in scope; as well as approval for conceptual and detailed projects budgets.
- Manages the selection process and contract negotiations for consultants, contractors, and vendors.
- Prepares and maintains accurate, coherent, timely, and auditable project records/files, and cost estimates with department procedures; and ensures that space inventory reports are complete.
- Provides leadership, and supervision to assigned consultants.
- Assists in the development of policies, guidelines, standards, and acts as department representative on committees and professional organizations.
Requirements
- Minimum 3 years of general contractor or project management related experience in an architectural or general contractor firm focused on office tenant construction projects.
- Certified Facility Manager (CFM), Project Management Professional (PMP)
- Knowledge of CAD system, CAFM, estimating, cost control, scheduling, construction administration, quality control, specification writing, and space planning
- Experience with OSHPD and TJC requirements.
- Knowledge of local, state and federal regulatory requirements related to areas of functional responsibility
- Strong analytical skills to create, update, and analyze detailed budget and cash flow reports are required.
- Excellent customer service skills and ability to complete projects timely and with high quality – we need a Construction Project Manager with excellent follow through!
- Ability to manage multiple projects, prioritize as necessary and leverage resources throughout the organization.
Education
- Bachelor’s degree is required. In Construction Management, Architectural Engineering, Mechanical Engineering, Civil Engineering, or related discipline is preferred.
Benefits
- PTO, PST, Medical, Dental, and Vision
Compensation
- $110k - $130k
Not Specified
W
Head of Legal/General Counsel @ Mission Driven SaaS Company
Salary not disclosed
Overview
Whistler Partners is partnering with to hire its first senior legal leader — a Head of Legal with the opportunity to step into a General Counsel title for the right candidate.
Owner provides a suite of tools designed to help local restaurant owners increase sales and strengthen their online presence. From mobile ordering and customer rewards to digital growth infrastructure, the platform empowers independent restaurants to compete and win. As the business expands product surfaces, navigates regulatory complexity, and enters increasingly strategic partnerships, legal leadership is now mission-critical.
This is a foundational hire at a high-growth, mission-driven SaaS company.
Why this role?
This is not an incremental legal hire. It’s a build-from-zero seat.
You will own the full legal stack — corporate, compliance, employment, IP, litigation, regulatory, and commercial — and serve as a strategic partner to the executive team. You won’t inherit a pre-built function. You’ll architect it.
Success in this role means:
- Building scalable systems from ambiguity
- Knowing when to leverage outside counsel — and when to move internally
- Acting as DRI on the company’s most sensitive initiatives
- Helping leadership move faster while strengthening risk discipline
The title is flexible and may include General Counsel for the right candidate.
This is ideal for a builder who wants true ownership, executive visibility, and the opportunity to shape Legal at a scaling technology company from day one.
Key Responsibilities
- Partner closely with Engineering, Product & Design, GTM, People, Finance, Ops, and the Executive team
- Act as strategic advisor to the CEO on negotiations, disputes, and sensitive matters
- Build and scale Owner’s Legal function as its first full-time legal hire
- Serve as DRI on litigation strategy, regulatory posture, and complex commercial agreements
- Partner with Product and Engineering to ensure new products and pricing models are built with compliance and risk minimization in mind
- Design scalable systems across contracting, compliance, governance, privacy, employment, and IP
- Manage outside counsel across corporate, regulatory, employment, and litigation matters
- Support fundraising, board matters, corporate governance, and investor communications
- Proactively identify legal risk areas and implement preventive frameworks
About You
- 8–10+ years of legal experience across law firm and in-house environments
- Broad, “full-stack” experience across commercial, corporate, compliance, IP, employment, and litigation oversight
- Builder mentality — energized by creating structure from scratch
- Strong executive presence and business judgment
- Comfortable operating in fast-moving, ambiguous environments
- Able to partner closely with product and engineering teams
- Motivated to scale and eventually build a Legal team
Compensation
$250,000 – $325,000
Owner is open to increased compensation at the General Counsel level and may stretch beyond the posted range for the right candidate.
Perks
Comprehensive health coverage, Bay Area-based remote flexibility, unlimited PTO, and additional growth-stage benefits.
Interested?
This search is being led by Wolf at Whistler Partners. Please contact them for a confidential conversation.
About Whistler Partners
Matchmakers, Not Headhunters
Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.
We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.
Not Specified
Design Quality Engineer
🏢 SciPro
Salary not disclosed
Responsibilities:
- Ensure all design control activities for new and updated products meet company procedures and global regulatory requirements.
- Lead risk management activities, including hazard analysis, FMEAs, and risk documentation.
- Support sterilization and biocompatibility assessments.
- Own and maintain design control documentation.
- Partner with R&D, Regulatory, Manufacturing, and Project Management to ensure quality is built into every stage of product development.
- Maintain accurate test, validation, and risk records and report progress to leadership.
- Support regulatory submissions (e.g., 510(k), CE Mark).
- Lead root cause investigations and corrective actions related to design issues.
- Support complaint investigations, nonconformances, and CAPAs after product launch.
- Conduct DHF audits to ensure phase completion requirements are met.
- Review and approve engineering documents and test reports.
- Identify opportunities to improve product quality, reduce cost, and increase efficiency.
Requirements
- Bachelor’s degree in Engineering or related field.
- 10+ years of quality engineering experience in medical devices, including new product launches.
- Experience with sterilization and biocompatability
- Strong knowledge of design controls, risk management, and medical device regulations (FDA, ISO, IEC).
- Experience with verification & validation (V&V) and FMEAs.
- Strong problem-solving and statistical analysis skills (e.g., Minitab, JMP).
- Detail-oriented with strong documentation skills.
- Quality certifications (CQE, CSQE, Six Sigma) are a plus.
Not Specified
J
Product Software Developer (Full-Stack)
🏢 Jobot
Salary not disclosed
Series B Startup is looking for a Product Software Developer to join their growing team! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000
- $200,000 per year A bit about us: Growing Series-B SaaS startup with offices in NY and SF is looking for a Full-Stack Software Developer to join their dynamic team! Their team includes veterans from FAANG and successful Bay Area tech startups.
Think to Uber but for knowledge using AI to simplifying the user experience while solving highly technical challenges across search, data, recommendations, and payments.
The primary qualities we are looking for is someone who's driven, curious, and eager to learn from a few really great, experienced engineers.
Strong preference for SF or NYC-based.
Why join us? Equity, Great Benefits, Remote Flexibility (local candidates are prioritized), Growth Opportunity, Great Culture, PTO, 401K plus match, and much more! Job Details Responsibilities Build and ship impactful product features in partnership with engineering, design, and business teams.
Integrate emerging AI tools into both the platform and engineering workflows.
Enhance platform architecture and data models to ensure a high-performance, reliable user experience.
Create and maintain systems for efficient data collection, processing, storage, and retrieval.
Collaborate with cross-functional teams to streamline and integrate data workflows.
Requirements 3 or more years of experience and a track record of building and shipping high quality products and features.
Bachelor's degree in CS or related Experience in SaaS or at high-growth tech companies and interested in joining a startup Full-Stack experience with Node / TypeScript, React, and a focus on building APIs and data platforms.
Excellent problem-solving skills and attention to detail.
Ability to work in a fast-paced, collaborative environment.
Passion for making data systems observable and highly automated.
Comfortable working in fast-paced environments with evolving product requirements Knowledgeable with MongoDB, and AWS Bonus Points: Experience with search, recommendations, and/or data problem sets Kubernetes, Elasticsearch, or AI/ML tooling Expertise in designing systems for scalability, reliability, and performance.
Proficiency in relevant programming languages and frameworks.
Experience building software from scratch at a fast-growing startup with an understanding of data modeling, ontologies, and knowledge graphs.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $140,000
- $200,000 per year A bit about us: Growing Series-B SaaS startup with offices in NY and SF is looking for a Full-Stack Software Developer to join their dynamic team! Their team includes veterans from FAANG and successful Bay Area tech startups.
Think to Uber but for knowledge using AI to simplifying the user experience while solving highly technical challenges across search, data, recommendations, and payments.
The primary qualities we are looking for is someone who's driven, curious, and eager to learn from a few really great, experienced engineers.
Strong preference for SF or NYC-based.
Why join us? Equity, Great Benefits, Remote Flexibility (local candidates are prioritized), Growth Opportunity, Great Culture, PTO, 401K plus match, and much more! Job Details Responsibilities Build and ship impactful product features in partnership with engineering, design, and business teams.
Integrate emerging AI tools into both the platform and engineering workflows.
Enhance platform architecture and data models to ensure a high-performance, reliable user experience.
Create and maintain systems for efficient data collection, processing, storage, and retrieval.
Collaborate with cross-functional teams to streamline and integrate data workflows.
Requirements 3 or more years of experience and a track record of building and shipping high quality products and features.
Bachelor's degree in CS or related Experience in SaaS or at high-growth tech companies and interested in joining a startup Full-Stack experience with Node / TypeScript, React, and a focus on building APIs and data platforms.
Excellent problem-solving skills and attention to detail.
Ability to work in a fast-paced, collaborative environment.
Passion for making data systems observable and highly automated.
Comfortable working in fast-paced environments with evolving product requirements Knowledgeable with MongoDB, and AWS Bonus Points: Experience with search, recommendations, and/or data problem sets Kubernetes, Elasticsearch, or AI/ML tooling Expertise in designing systems for scalability, reliability, and performance.
Proficiency in relevant programming languages and frameworks.
Experience building software from scratch at a fast-growing startup with an understanding of data modeling, ontologies, and knowledge graphs.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
permanent
J
Senior Product Manager
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $190,000 per year A bit about us: Our client is an early-stage Series B, venture-backed startup building the world’s first direct-to-satellite Bluetooth® network.
With applications in logistics, AgTech, and maritime, their mission is to become the first billion-endpoint-connected network in the world.
The founding team has already launched billions in space assets, raised hundreds of millions in venture funding, and built household-name IoT networks.
Now, they’re expanding the team to bring this vision to life.
Why join us? Shape the future of IoT and satellite connectivity with cutting-edge tech Competitive salary: $160K–$195K (DOE) Comprehensive health, dental, and vision coverage + HSA options Unlimited PTO & a global sabbatical program to recharge Health & wellness stipends + commuter benefits Learning & development allowance Opportunity to work in Seattle, San Francisco, or remotely in PST Job Details We’re looking for a Senior Product Manager to help lead execution across our clients core product area, including their satellite and terrestrial networks, developer platform, applications and tools, and partner solutions.
This role is about owning the “why” and the “what” of what they build, driving clarity and momentum across engineering, design, and customer teams.
You’ll work closely with leaders across hardware, firmware, software, and customer success to translate strategic goals into clear product plans and deliverables.
This is a hands-on role for a builder; someone who can move between technical detail, customer insight, and company strategy without losing momentum.
Responsibilities ● Drive execution of roadmap initiatives within one or more product areas (Network Services, Developer Platform, Applications & Tools, Partner Solutions) ● Translate strategy and technical requirements into actionable product specs, milestones, and deliverables ● Partner closely with engineering and design to ensure quality and alignment from concept to release ● Define and track success metrics tied to reliability, usability, adoption, and scale ● Gather and synthesize feedback from customers, partners, and internal teams to inform priorities ● Collaborate with program management to ensure on-time, high-quality delivery ● Communicate priorities, tradeoffs, and progress clearly across teams and leadership Qualifications ● 5–10 years of product management experience in a technical domain (connectivity, developer tools, IoT, or platform infrastructure) ● Proven ability to drive execution and ship products in cross-functional environments ● Strong technical fluency; comfort engaging with engineers across hardware, software, embedded and cloud systems ● Experience writing product specs, defining roadmaps, and aligning diverse teams ● Customer-first mindset; proven ability to connect user pain points to technical solutions ● Excellent organizational and communication skills; thrives in ambiguity and fast-paced settings ● Comfortable operating in early-stage start-up environments ● Entergetic, Hands-on, and resourceful Candidate Must-Haves U.S.
Citizenship or Green Card (ITAR requirement) Located in Seattle, San Francisco, or Remote (PST time zone) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $150,000
- $190,000 per year A bit about us: Our client is an early-stage Series B, venture-backed startup building the world’s first direct-to-satellite Bluetooth® network.
With applications in logistics, AgTech, and maritime, their mission is to become the first billion-endpoint-connected network in the world.
The founding team has already launched billions in space assets, raised hundreds of millions in venture funding, and built household-name IoT networks.
Now, they’re expanding the team to bring this vision to life.
Why join us? Shape the future of IoT and satellite connectivity with cutting-edge tech Competitive salary: $160K–$195K (DOE) Comprehensive health, dental, and vision coverage + HSA options Unlimited PTO & a global sabbatical program to recharge Health & wellness stipends + commuter benefits Learning & development allowance Opportunity to work in Seattle, San Francisco, or remotely in PST Job Details We’re looking for a Senior Product Manager to help lead execution across our clients core product area, including their satellite and terrestrial networks, developer platform, applications and tools, and partner solutions.
This role is about owning the “why” and the “what” of what they build, driving clarity and momentum across engineering, design, and customer teams.
You’ll work closely with leaders across hardware, firmware, software, and customer success to translate strategic goals into clear product plans and deliverables.
This is a hands-on role for a builder; someone who can move between technical detail, customer insight, and company strategy without losing momentum.
Responsibilities ● Drive execution of roadmap initiatives within one or more product areas (Network Services, Developer Platform, Applications & Tools, Partner Solutions) ● Translate strategy and technical requirements into actionable product specs, milestones, and deliverables ● Partner closely with engineering and design to ensure quality and alignment from concept to release ● Define and track success metrics tied to reliability, usability, adoption, and scale ● Gather and synthesize feedback from customers, partners, and internal teams to inform priorities ● Collaborate with program management to ensure on-time, high-quality delivery ● Communicate priorities, tradeoffs, and progress clearly across teams and leadership Qualifications ● 5–10 years of product management experience in a technical domain (connectivity, developer tools, IoT, or platform infrastructure) ● Proven ability to drive execution and ship products in cross-functional environments ● Strong technical fluency; comfort engaging with engineers across hardware, software, embedded and cloud systems ● Experience writing product specs, defining roadmaps, and aligning diverse teams ● Customer-first mindset; proven ability to connect user pain points to technical solutions ● Excellent organizational and communication skills; thrives in ambiguity and fast-paced settings ● Comfortable operating in early-stage start-up environments ● Entergetic, Hands-on, and resourceful Candidate Must-Haves U.S.
Citizenship or Green Card (ITAR requirement) Located in Seattle, San Francisco, or Remote (PST time zone) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Backend Engineer, Distributed Systems
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Our client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, reshape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully): This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do: Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable): Strong backend experience in any modern language (Ruby, Python, Go, Java, etc.) Ability and willingness to learn Ruby if it is new to you Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $150,000
- $180,000 per year A bit about us: Our client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, reshape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully): This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do: Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable): Strong backend experience in any modern language (Ruby, Python, Go, Java, etc.) Ability and willingness to learn Ruby if it is new to you Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Backend Engineer, Distributed Systems (Ruby)
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Our Client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, re-shape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully) This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable) Strong Ruby fundamentals as a design tool (encapsulation, boundaries, responsibility), not just syntax Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $150,000
- $180,000 per year A bit about us: Our Client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, re-shape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully) This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable) Strong Ruby fundamentals as a design tool (encapsulation, boundaries, responsibility), not just syntax Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
Staff Data Scientist - Post Sales
🏢 Harnham
Salary not disclosed
Staff Data Scientist – Post Sales
Location: San Francisco (Hybrid)
Salary: $200–250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
- Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
- Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
- Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
- Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
- Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
- Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
- Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
- Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
- Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
- Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
- Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
- Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
- Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
Not Specified
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