Engineering Journal Jobs in Daly City

About the Company

An early-stage AI research lab focused on interpretability, alignment, and reinforcement learning is hiring a Research Engineer. Founded by former frontier-model researchers, the team works directly on model internals and training dynamics to better understand how AI systems reason. The lab runs fast experimental research cycles, building custom tools to explore open-ended questions about model behavior.

About the Role

This role focuses on building the experimental tooling that enables interpretability research. You will develop systems that allow researchers to inspect, measure, and manipulate internal model representations. This is not a production ML or MLOps role — it's for engineers who enjoy building new experimental systems from scratch and working closely with researchers.

Responsibilities

• Build custom RL-style environments and experimental testbeds for interpretability research
• Develop tools for activation tracing and mechanistic interpretability
• Implement probes to detect latent concepts (e.g., deception, goals, uncertainty)
• Prototype activation-level steering methods beyond prompting or fine-tuning
• Collaborate with researchers to rapidly iterate on experiments and tooling

Qualifications

• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch or JAX
• Experience working with deep learning models or LLMs
• Strong software engineering fundamentals and ability to build experimental ML systems

Preferred Skills

• Experience in mechanistic interpretability or alignment research
• Familiarity with reinforcement learning environments
• Background working with model internals, representations, or probing methods
• Research experience (PhD preferred but not required)

Pay range and compensation package

Competitive salary, equity, and benefits.

The Company

A rapidly growing data consultancy founded in 2023 by a former venture-backed biotech VC data/technology leadership team in San Francisco. The firm has already delivered 20+ engagements across tech, healthcare/biotech, finance, energy, real estate, and startups - building complex data platforms, products, and AI-driven systems.

The Role

A hands-on, senior individual contributor role for engineers who still love coding. You'll work in small teams (often 1–3 engineers) to design and build production-grade data platforms, pipelines, and products across industries.

What You'll Work On

• High-impact, fixed-scope builds (e.g., enterprise data marts, complex migrations)
• End-to-end data platform deployments (ETL, warehouses, BI across AWS/Azure/GCP)
• Partnering with startups to build data-intensive products from 0 → 1

What We're Looking For

Hands-on builder

• Actively writing production code today
• Not removed into management or purely architectural roles

Infrastructure ownership

• Personally deployed and operated production systems
• Cloud, CI/CD, scaling, monitoring, reliability

End-to-end ownership

• Taken products from idea → launch → ongoing operation
• Comfortable operating autonomously with stakeholders

True seniority (well beyond 5 years)

• Targeting engineers with meaningful depth and ownership
• Strong preference for backgrounds in smaller, high-ownership environments
• Experience wearing multiple hats (application + infrastructure + deployment)

Why Join

• High autonomy and real technical ownership
• Variety of industries and problems
• Small, elite engineering team
• Opportunity to shape a fast-scaling consultancy

Location: San Francisco (5 days a week on-site)

Salary: $190k-$250k + 10-20% bonus + equity + sign on bonus

Benefits: Full Health, Vision, Dental, Life Insurance, Commuter Benefits, Unlimited Time off, 401k matched.

Senior Account Executive (San Francisco Bay-Area)

About the Role:

An innovative Data & AI technology business (Series B $50M+) is looking to hire a Senior Account Executive to drive enterprise growth across the West Coast. This role will focus on selling a category-defining data security, privacy and AI governance platform to senior security stakeholders, requiring a consultative, methodology-led approach to high growth markets.

The Company:

This fast-scaling technology company is redefining how organisations approach data defence, unifying security, privacy and AI governance into a single, forward-thinking platform. With strong product-market fit and ambitious growth plans, the business is building a commercial team to support enterprise expansion across key US markets.

Benefits & Opportunities:

• Join at a pivotal growth stage as a significant commercial hire, shaping the go-to-market strategy and long-term revenue engine.
• Sell a genuinely differentiated platform that is redefining the data security and privacy landscape.
• Work closely with leadership in a business that values grit, intelligence, curiosity and disciplined sales execution.

To Be Successful, You’ll Need:

• At least 5 years of field sales experience with a consistent track record of enterprise performance.
• Demonstrated experience selling into security, infrastructure, or observability environments within mid-size growth and enterprise companies.
• A consistent record of over achievement of quota in sales environments
• Formal sales methodology training (e.g. MEDDPIC, Command of the Message) and a highly consultative, process-driven approach.

Key Words:

Account Executive | Enterprise Sales | Data Security | Privacy Technology | AI Governance | MEDDPIC | Command of the Message | Observability | Infrastructure | CISO | Enterprise Software | Field Sales

General Summary

As a member of the Manufacturing Engineering group at Penumbra, you will be called upon to solve complex problems and implement innovative solutions. You will provide manufacturing technology and robust solutions aimed at commercializing new products and continuously improving production processes. Working cross-functionally with engineering groups across the company, as well as with Production, Quality Control and Quality Assurance, you will resolve problems encountered on the production floor and throughout the business, and will apply your engineering knowledge and creativity to implement adaptations and modifications to the production line and to quality systems.

What You'll Work On

•Solve complex problems and implement innovative solutions

•Execute detailed root cause analysis and recommend vetted solutions

•Communicate and explain problems and solutions cross-functionally and inter-departmentally

•Collaborate closely with suppliers, ensure timely communication of updates, and respectfully request any necessary changes.

•Manage NCRs, deviations, engineering change orders, and supplier documentation while utilizing a Quality Management System to ensure continuous improvement and compliance.

•Engage in the troubleshooting of electromechanical products by employing failure analysis and problem-solving techniques, while also recommending and implementing effective solutions.

•Lead the implementation of projects at the supplier level, managing communications related to test plans, monitoring project timelines, and ensuring all milestones are met efficiently.

•Approach problems from a detail-oriented perspective

•Suggest independent recommendations for project approach, scope, and tactics

•Support production needs

•Create and maintain product and process documentation

•Monitor process and equipment performance and identify and implement process improvement activities to increase/optimize yield

•Design fixtures, acquire off-the-shelf tooling and equipment, and implement new fixturing on the production line

•Test processes, equipment, raw materials, and product

•Perform process validations

•Author protocols to execute tests and write reports and make conclusions and/or recommendations based on test results

•Plan, schedule, conduct, and coordinate detailed phases of engineering work as part of a project or as a total project

•Develop specifications of a product, process, or piece of equipment

•Develop, characterize, and optimize processes using statistical techniques and engineering knowledge and experience

•Coordinate with the appropriate suppliers and other external resources needed in developing and implementing process improvement plans

•Participate in project planning and scheduling

•Train assemblers, quality control and technicians, as necessary, on processes, equipment, and documentation

•Comply with quality system regulations, standards and procedures

* Indicates an essential function of the role

Location and Pay

•Alameda, CA

•$95,000 to $127,000

Position Qualifications

Minimum education and experience:

•Bachelor’s degree in Mechanical, Biomedical, Electrical, Chemical, Materials, or Industrial Engineering or related degree with 2+ years relevant engineering experience, or an equivalent combination of education and experience

Additional qualifications:

•Engineering experience in a manufacturing environment recommended, medical device industry preferred

•Experience in troubleshooting and working with electromechanical devices

•Excellent written, verbal, and interpersonal communication skills required

•Knowledge of FDA regulations, Lean/Flow Manufacturing, and/or materials and manufacturing processes desired

•Proficiency in Word, Excel, PowerPoint, Access, and other computer applications required

•Supplier audits, risk management (FMEA, DFMEA, PFMEA), lean manufacturing/six sigma, equipment qualification

Working Conditions

•General office, laboratory, and clean room environments.

•Willingness and ability to work on site.

•Business travel from 0% - 10%

•Potential exposure to blood-borne pathogens.

•Requires some lifting and moving of up to 25 pounds.

•Must be able to move between buildings and floors.

•Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day.

•Must be able to read, prepare emails, and produce documents and spreadsheets.

•Must be able to move within the office and access file cabinets or supplies, as needed.

Join a dynamic leader in the transportation, logistics, supply chain, and storage industry, recognized for developing and supporting mission-critical technology solutions that drive innovation in autonomous delivery and operational excellence. As a PLM Systems Analyst, you will play a key role in supporting and optimizing the suite of engineering applications that power the design, manufacture, and maintenance of advanced drone delivery systems. This opportunity is ideal for a systems analyst passionate about engineering tools, process improvement, and collaboration in a fast-paced environment with real-world impact.

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• Provide day-to-day administration and support for Siemens PLM tools, including Teamcenter, NX, and StarCCM+.
  
• Own and resolve L1 and L2 PLM support tickets, focusing on user access, troubleshooting, and minimizing recurring issues.
  
• Partner with Siemens and internal IT to escalate and resolve complex issues efficiently.
  
• Manage system configuration, environment setup, and routine maintenance to ensure system stability and reliability.
  
• Document processes, troubleshooting steps, and system updates to enable scalable workflows.
  
• Support system upgrades, patches, release cycles, and undertake testing, validation, and user coordination to minimize disruption.
  
• Collaborate with engineers to understand usage, identify pain points, and implement workflow improvements.
  
• Support and troubleshoot integrations between Teamcenter and other engineering or enterprise systems.
  
• Assist with onboarding and training of new users, ensuring effective system access and tool utilization.
  
  

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• 3–5+ years of experience supporting Siemens PLM or related engineering tools (e.g., Teamcenter, NX, StarCCM+).
  
• In-depth understanding of PLM concepts, CAD/CAE workflows, and engineering toolchains.
  
• Proven experience providing L1/L2 technical support and diagnosing system, user, and integration issues.
  
• Demonstrated system administration expertise including access control, configuration, upgrades, and cloud-based environment management.
  
• Experience coordinating with vendors (preferably Siemens) for technical issue resolution.
  
• Excellent problem-solving and troubleshooting skills across multiple systems and functions.
  
• Strong communication skills to explain technical concepts to both engineers and non-technical stakeholders.
  
• Ability to collaborate effectively with Engineering, IT, and Operations teams.
  
  

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• Experience supporting integrations with enterprise systems such as ERP, MES, or API-based solutions.
  
• Familiarity with change management processes (ECR, ECO, ECN) and engineering data management practices.
  
• Background in user onboarding, training, and developing technical documentation.
  
• Prior exposure to SOP development and workflow automation in engineering environments.
  
• Track record of driving process improvements in PLM or related system landscapes.

Technical Lead / Platform Engineer

GenAI Healthcare SaaS Platform

Palo Alto, CA (Hybrid – 3 days onsite)

About the Role

We’re building a next-generation generative AI platform purpose-built for healthcare — and we’re looking for a hands-on Technical Lead to help architect and scale it from the ground up.

This is not a “manage from a distance” role. You’ll be deeply involved in system design, writing production code, guiding engineering direction, and making foundational technical decisions that shape the future of the platform. You’ll work closely with leadership and product to turn complex healthcare AI requirements into scalable, reliable infrastructure.

If you’ve led engineering efforts for production-grade AI systems and enjoy building high-performance teams and platforms, we’d love to talk.

What You’ll Own

• Architect and evolve the core infrastructure for a scalable AI-powered SaaS platform
• Lead development of backend services and ensure clean integration across systems
• Write high-quality, maintainable code with long-term scalability in mind
• Establish engineering best practices across architecture, CI/CD, monitoring, and DevOps
• Guide and mentor engineers while maintaining a strong individual contributor presence
• Define infrastructure automation strategies (IaC, provisioning, deployment workflows)
• Drive performance, reliability, and observability standards
• Partner with product and leadership to translate vision into executable technical milestones

What We’re Looking For

Core Experience

• 8+ years building and shipping production software
• Prior experience leading engineering initiatives or managing technical direction
• Proven track record scaling a generative AI system or AI-enabled platform in production
• Strong backend engineering background in Python
• Additional proficiency in TypeScript or Java
• Experience with a modern compiled language such as Go or Rust
• Deep knowledge of microservices architecture and RESTful API design
• Hands-on expertise with one major cloud provider (AWS, GCP, or Azure)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Advanced DevOps knowledge: CI/CD, automated deployments, monitoring, alerting
• Experience containerizing and orchestrating services with Docker and Kubernetes

Leadership & Execution

• Comfortable setting technical direction while staying hands-on
• Strong communicator who can explain complex systems clearly
• Experience mentoring engineers and elevating engineering standards
• Ability to operate in a fast-moving, startup environment

Nice to Have

• Experience building or deploying ML/AI systems (TensorFlow, PyTorch, etc.)
• Strong GCP background (bonus if you’ve worked across AWS/Azure as well)
• Familiarity with frontend frameworks like React, Angular, or Vue
• Experience working in healthcare, health tech, or regulated industries

Work Environment

This role is based in Palo Alto with a hybrid schedule (3 days per week onsite). We provide daily meals and foster a collaborative, high-performance engineering culture.

Compensation & Benefits

• Base salary range: $220,000 – $280,000, depending on experience and location
• Meaningful equity package
• Medical, dental, and vision coverage
• Flexible hours
• Hybrid work environment
• Opportunity to help shape the future of AI in healthcare

If you're excited about building a production-grade AI platform that directly impacts patient outcomes — and want to help define the technical foundation of a category-defining company — let’s talk.

Title: VP, Customer Experience & Success

Location: USA (Bay Area preferred)

Reports to: President

Team Size: 50+ (CS, Professional Services, Support, CS Ops)

Company: Milestone Inc.

About Milestone:

Milestone Inc. is a leading Digital Experience Software and Services company focused on AI-first discovery, personalization, and conversion across all digital touchpoints. Our platform enables brands to be visible in search engines and AI answer engines through structured data, entity intelligence, and AI-driven orchestration.

We serve complex, multi-location enterprises across hospitality, banking/financial services, and MarTech-driven organizations, operating a hybrid SaaS + Services business model at scale.

VP - CS Role Overview:

Milestone is seeking a strategic, revenue-oriented VP of Customer Experience & Success to own retention, expansion, partnerships, and customer outcomes across a global customer base.

This is a revenue-adjacent executive role, accountable for GRR, NRR, churn reduction, expansion ARR, payback period, and customer lifetime value—not just customer satisfaction.

The VP - CS will design and operate a modern, AI-powered Customer Success engine, spanning onboarding through expansion, while leading distributed teams across the US, India, Canada, and Mexico.

Problems We Are Looking to Solve:

The VP - CS will be entrusted with solving systemic, enterprise-level challenges including:

• Lifecycle execution challenges across onboarding, adoption, renewal, and expansion
• Limited predictability in churn risk, renewals, and expansion forecasting
• Scalability and repeatability in CS playbooks
• Fragmentation across SaaS + Services delivery models
• Underutilization of AI and automation in CS workflows
• Weak executive-level customer relationships in complex verticals

Key Responsibilities:

1. Strategic Customer Success & Revenue Ownership

• Own and improve GRR, NRR, churn, expansion ARR, CLV, and cohort health
• Operate and forecast a multi-million-dollar global book of business
• Design and run end-to-end scalable and repeatable lifecycle playbooks:
• Onboarding → Adoption → Value Realization → Renewal → Expansion
• Establish a rigorous operating cadence:
• QBRs, executive reviews, health scoring, churn risk models, expansion pipelines
• Directly align CS outcomes with Company OKRs and board-level metrics
• Own the creation of systematic, built-in expansion engines so that customers adopting the Milestone product stack have defined, automatic ARR growth year over year.

2. Global Leadership & Operating Rigor

• Lead and scale 60+ global team members across CS, PS, Support, and CS Ops
• Implement clear playbooks, SLAs, escalation models, and governance
• Drive tight cross-functional alignment with Sales, Product, Marketing, Engineering, and Delivery
• Lead change management for:
• New processes
• Pricing & packaging shifts
• AI-enabled workflows and tooling

3. MarTech, Hospitality & Banking Domain Leadership

• Bring deep expertise in MarTech ecosystems:
• CDPs, CRMs, personalization, attribution, ABM, campaign orchestration
• Demonstrate direct experience serving hospitality and banking / financial services clients:
• Translate platform capabilities into vertical-specific business outcomes
• Act as an executive partner to CMOs, CDOs, Heads of Digital & Loyalty

4. AI, Automation & CS Technology Leadership

• Deploy AI-driven Customer Success capabilities, including:
• Predictive health scoring
• Churn and risk signals
• Automated play triggers & next-best-action systems
• Renewal and expansion forecasting
• Drive automation across the CS stack:
• CRM, ticketing, in-app guidance, chatbots, knowledge bases
• Improve:
• Time-to-value
• CS productivity
• Margin and scalability
• Continuously evaluate and optimize AI tools across CS and MarTech ecosystems

5. Hybrid SaaS + Services Model Excellence

• Operate seamlessly across:
• Recurring SaaS (land-and-expand, usage-driven models)
• Services (projects, retainers, SOWs, campaigns)
• Define clear value, scope, and success metrics for blended offerings
• Partner with CS Ops / Rev Ops to standardize:
• Handoffs
• Capacity planning
• Margin and profitability tracking
• Replace hero-driven delivery with repeatable, scalable execution models

6. Executive, Entrepreneurial & Culture Leadership

• Bring an entrepreneurial mindset suited for ambiguity and scale
• Build a strong CS leadership bench in the Bay Area while leveraging global teams
• Demonstrate executive presence through:
• Board-level storytelling
• Strategic customer engagement
• Partner and ecosystem leadership
• Serve as a culture carrier, reinforcing:
• Ownership over activity
• Accountability over intent
• Customer obsession over internal comfort

Ideal Candidate Profile:

We are seeking a strategic, data-driven, and execution-focused CS leader who:

• Thinks in outcomes, revenue, and systems, not just relationships
• Operates comfortably with C-suite buyers in complex enterprises
• Understands SaaS economics and services margin deeply
• Can design scalable operating models and still drive execution
• Is equally credible with boards, customers, and frontline teams
• Strong learning mindset

Required Experience & Qualifications:

• 15–20+ years in SaaS, MarTech platforms, agencies, or high-growth B2B environments
• Proven VP or Sr Director experience owning retention and expansion outcomes
• Previous high growth/startup experience is must have
• Strong command of CS economics:
• GRR, NRR, churn, expansion, payback period, cohort health
• Deep exposure to hospitality and/or banking verticals
• Global leadership experience across multi-time-zone teams
• Bay Area presence preferred

Key Focus Areas (2026 Lens):

• Revenue retention and expansion predictability
• Lifecycle playbook standardization at scale
• AI-powered CS workflows and automation
• Executive-level customer partnerships
• Margin improvement across SaaS + Services
• Establishing and Growing Partnership /Agency Programs

KPI & Metrics Ownership:

• Gross Revenue Retention (GRR)
• Net Revenue Retention (NRR)
• Churn Rate (Logo & Revenue)
• Expansion ARR
• Customer Lifetime Value (CLV)
• Time-to-Value
• Renewal Forecast Accuracy
• CS Productivity & Margin
• Customer Sentiment (NPS / CSAT)
• AI Automation Adoption & Efficiency Gains

What Success Looks Like (First 12–18 Months):

• Measurable improvement in GRR, NRR, and churn reduction
• Globally adopted lifecycle playbooks
• Predictable renewal and expansion forecasting
• AI-driven CS workflows delivering efficiency gains
• Strong executive relationships across top accounts
• A scalable, high-performing global CS leadership team

Why Milestone:

• Founder-led, award-winning, AI-first platform
• Deep focus on GEO, AI visibility, and customer outcomes
• Opportunity to shape Customer Success as a true growth engine
• Certified Great Place to Work

Staff Design Quality Engineer – Class III Implantable Medical Device

San Francisco Bay Area | Full-Time | Hybrid

A fast-growing medical device company developing next generation implantable technology is expanding its engineering team and hiring a Staff Design Quality Engineer to support the development of a highly innovative Class III medical device platform.

This is a highly technical, hands-on role embedded directly with R&D, focused on ensuring quality is built into product development from early feasibility through clinical and commercial stages.

You will play a key role in helping bring a breakthrough therapy to market while working alongside experienced engineers and cross-functional leaders in a collaborative development environment.

Responsibilities

• Partner closely with R&D and systems engineering teams to integrate design quality into product development
• Lead and support design control activities throughout the product lifecycle
• Drive risk management efforts (ISO 14971) including hazard analysis, FMEAs, and risk mitigation strategies
• Support verification and validation planning and execution
• Ensure compliance with FDA design control requirements and global quality standards
• Participate in cross-functional design reviews and technical decision making
• Help translate regulatory and quality requirements into practical engineering processes

Qualifications

• BS or MS in Engineering (Biomedical, Mechanical, Electrical, or related)
• 7+ years of experience in medical device product development or design quality
• Strong experience with design controls and risk management
• Experience supporting Class II or Class III medical devices
• Ability to collaborate closely with R&D in early-stage product development
• Experience supporting IDE, PMA, or complex regulatory pathways is highly valued

What Makes This Opportunity Unique

• Work on cutting-edge implantable technology
• Join a highly technical engineering-driven team
• Be involved early in the development lifecycle
• Significant opportunity for technical ownership and influence
• Competitive compensation, bonus, and equity package

If you are interested in learning more, feel free to reach out directly.

We’re hiring: Enterprise Account Executive – San Francisco (Hybrid)

Partnering with a high-growth, venture-backed AI developer tools company

If you’re exploring what’s next — or just curious — this opportunity is worth your scroll!

We’re working with a fast-growing, mission-driven business building GenAI-driven code review technology — helping engineering teams ship faster, improve code quality, and reduce review cycles through a powerful human + AI workflow. They’re well funded, scaling their GTM org, and investing heavily in people, product, and culture.

Why this role matters

This is a chance to join the Enterprise sales team and help shape the GTM engine from the ground up. You’ll own named accounts, build pipeline, close complex technical deals, and drive expansion across engineering orgs!

What’s in it for you

• Growth: Early GTM team + real runway = fast progression

• Culture: Collaborative, curious, high-ownership team

• Flexibility: Hybrid in San Francisco and Boston

• Package: Competitive base + commission + equity

• Support: Strong leadership, coaching, and real ownership from day one

• Impact: Your work directly drives adoption inside engineering teams

Target OTE is ~$300K

What you’ll do

• Own the full sales cycle: prospect, qualify, run POVs, close

• Drive outbound pipeline across named mid-enterprise accounts

• Deliver high-impact demos and sell to both technical + business stakeholders

• Land and expand — grow adoption across multiple teams and workflows

• Partner cross-functionally with product, marketing, and customer success

(We’ll share the detailed spec after you apply.)

What you’ll bring

• Experience in full-cycle SaaS sales, outbound pipeline generation, closing 6-figure deals

• Strength in value-based selling and multi-threaded deal management

• Proven ability to sell into engineering leadership (CTO, VP Eng, DevOps, Platform)

• Curiosity, drive, and comfort learning technical products quickly

Ready to explore it?

Apply now or message me directly for the full role spec.

If this isn’t the right fit, follow Orama Solutions to stay updated — we post new roles weekly across GTM, SaaS, AI, Cloud, Infra, Cyber, and emerging tech.

#Hiring #NowHiring #OramaSolutions #AccountExecutive #SaaSSales #DeveloperTools #GenAI #SanFrancisco #GTM

Lead Engineer (Foundry)

We’re seeking a Lead Engineer / Senior Lead Engineer to join a rapidly growing, vertically integrated real estate investment and operating platform. This role sits at the intersection of technology, operations, and investment strategy and is designed for an engineer who wants to build software that directly impacts business performance.

Unlike traditional engineering roles, this position is deeply embedded with Asset Management, Property Operations, and Construction teams. You’ll work closely with executive leadership and business users to design, deploy, and iterate on software solutions that improve NOI, reduce costs, and enhance portfolio performance. This is a hands-on builder role. You will write code, automate workflows, integrate data pipelines, and build dashboards—working shoulder‑to‑shoulder with the teams using the tools you create.

Salary & Benefits

• Base Salary Pay Range: $120k-$145k per year
• Discretionary bonus BOP after 1 year of service
• Paid Time Off (starting at 10 days + 2 floating holidays / 96 Hours, accrued)
• A flexible health plan offering medical, dental, and vision benefits
• 401(k) Savings Plan

Responsibilities

Embed With Business Teams

• Work day‑to‑day with property managers, asset managers, and finance teams
• Identify operational inefficiencies, data gaps, and workflow breakdowns

Rapid Prototyping and Deployment

• Design and build scripts, dashboards, automations, and integrations
• Deliver practical tools that solve problems in real time

Systems Integration

• Connect platforms such as property management systems, ticketing tools, analytics platforms, spreadsheets, and custom databases into unified workflows

Operational Analytics

• Build models for rent roll forecasting, delinquency tracking, CapEx planning, and maintenance cost monitoring

AI and Automation

• Apply AI to summarize tenant communications, flag high‑risk accounts, and optimize leasing and maintenance workflows

Outcome Measurement

• Track and report the business impact of solutions, including response times, collections, and cost efficiency

Cross‑Functional Leadership

• Serve as a translator between investment professionals and technical stakeholders
• Ensure solutions are scalable, practical, and aligned with business priorities

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Engineering, or a related field
• 3+ years of experience in software engineering, data engineering, or applied analytics
• 1+ year of hands‑on experience with Palantir Foundry or Gotham
• Strong SQL and Python skills; experience with APIs and ETL pipelines (PySpark a plus)
• Excellent analytical and problem‑solving skills
• Strong communication skills with the ability to explain technical concepts in business terms

Key Skills and Competencies

• Clear, articulate communicator with strong documentation habits
• Highly analytical with strong qualitative judgment
• Able to prioritize effectively and meet deadlines
• High standards of excellence and ethics
• Comfortable identifying issues and driving solutions independently
• Strong critical thinking and decision‑making abilities
• Naturally inquisitive; asks the right questions and challenges assumptions
• Goal‑oriented, diligent, and execution‑focused

Equal Opportunity Employer/Veterans/Disabled

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