---
title: 'Senior Product Engineer at Workhelix'
canonical: 'https://feeny.ai/job/senior-product-engineer-workhelix-san-francisco-6zt70ga8cces'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Product Engineer at Workhelix

- **Company:** Workhelix
- **Location:** San Francisco, CA
- **Posted:** 2026-07-25
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/workhelix/jobs/5370945008

## Job description

## Who We Are

Workhelix is an enterprise SaaS company with a single goal: helping organizations get the most out of their AI investments.

Our people and software combine to give leaders answers to the three critical questions about the business value of AI:

- Where are our top opportunities to create value with AI?
- Are our current efforts actually delivering? What’s their ROI?
- How can we accelerate and increase the benefits of our AI?

To find answers for each customer, Workhelix applies our unmatched expertise in economics, AI, and data science. We have pioneered a task-scoring method to identify top GenAI opportunities, ensuring clear, data-driven deployment strategies. Our ROI monitoring suite applies Nobel Prize-winning economics to provide accurate, ongoing insights into the impact of GenAI implementations. Renowned AI and Economics thinkers including Andrew Ng, and cofounders Andy McAfee and Erik Brynjolfsson stand proudly behind our mission.

We maintain a culture established on five key principles. For more information on our leadership principles, please visit the careers page of our website.

## Role

We're looking for a hands-on Senior Product Engineer who takes pride in writing excellent code and raises the bar for everyone around them simply by how they work. You'll partner closely with the Head of Engineering and Chief Product & Technology Officer to build scalable, enterprise-grade software.

This is a deeply hands-on role. You'll spend the large majority of your time designing and shipping production code, while bringing the technical judgment, architectural thinking, and craftsmanship that make the whole team better.

## Key responsibilities

- Own the technical delivery of key product initiatives across our Python (FastAPI), React, and Postgres stack.
- Partner closely with the Head of Engineering and Chief Product & Technology Officer to translate product vision into scalable technical solutions.
- Contribute to architecture discussions, code reviews, and design sessions, offering the kind of technical judgment that raises the quality bar for the whole team.
- Make thoughtful tradeoffs between speed, scalability, maintainability, and customer value.
- Build production software as a core individual contributor, setting a high technical standard through your own work.
- Improve engineering practices around testing, observability, deployment, code quality, and operational excellence.
- Work closely with Product, Design, Data Science, and the Forward-Deployed Team to solve complex customer problems.
- Help shape the evolution of our platform by identifying opportunities to simplify systems, improve developer experience, and reduce technical debt.
- Contribute to hiring by helping assess and welcome exceptional engineers who strengthen both our technical capabilities and our culture.

## What We Value

- Technical excellence through action. You enjoy solving difficult technical problems yourself and naturally set a standard others want to meet.
- Strong engineering judgment. You know when to build for the future and when to optimize for speed. You recognize over-engineering just as quickly as accumulating unnecessary technical debt.
- Systems thinking. You naturally zoom out to understand how changes in one part of the platform affect everything downstream—from customer experience to developer productivity.
- Pragmatic execution. You break complex initiatives into achievable milestones, deliver iteratively, and maintain a bias toward shipping.
- Product mindset. You care deeply about the user experience and challenge requirements that don't solve the underlying customer problem.
- Low ego, high standards. You care more about building great software than being the smartest person in the room. You welcome feedback and give it generously.
- Collaborative instincts. You communicate clearly, bring people in early, and help create alignment across Engineering, Product, Design, Data Science, and the Forward-Deployed Teams.
- Intellectual curiosity. You're energized by ambiguity and enjoy learning new technologies, domains, and approaches to solving difficult problems.

## What you bring

- 5+ years of professional software engineering experience, with a track record of owning complex technical projects end-to-end.
- Strong full-stack development experience. Comfort with Python and React is strongly preferred, but we're open to exceptional engineers from other object-oriented programming (OOP) backgrounds who can demonstrate the ability to ramp quickly.
- Working knowledge of SQL. You're comfortable writing queries, understanding relational data, and reasoning about how data moves through a system. Experience with schema design and data pipelines is a plus.
- Experience building scalable, secure, production-grade SaaS applications.
- Deep understanding of modern software architecture, APIs, distributed systems, and cloud-native development.
- A track record of raising the bar for code quality through your own work and through thoughtful code and design reviews.
- Strong product judgment. You care about what the user actually experiences and will question a requirement that doesn't feel right rather than simply building what's written.
- A systems mindset. You naturally zoom out and notice when something upstream or downstream of your own work is drifting out of sync.
- A bias toward pragmatic delivery. You scope before you dive in, break work into shippable increments, and deliver at the pace a fast-moving company requires without over-engineering.
- Strong collaborative instincts and excellent communication. You bring people into conversations early, communicate clearly in both written and verbal settings, and work effectively across Engineering, Product, Design, Data Science, and Customer Success.
- Low ego, high standards. You care more about the quality of the outcome than who gets credit, and you welcome feedback without becoming defensive.
- Genuine intellectual curiosity. You're energized rather than destabilized when priorities shift, and you naturally go deep on problems because you genuinely enjoy understanding how things work.

## Nice to have

- Experience with AWS and modern deployment practices, including CI/CD, observability, monitoring, and infrastructure management.
- Experience building data-intensive products or analytics platforms.
- Familiarity with experimentation, statistics, or machine learning concepts.
- Experience integrating AI-assisted development tools into engineering workflows.
- Experience working in an early-stage, high-growth SaaS startup.
- Experience building products for enterprise customers with complex technical environments.

Pay range and compensation package $150,000- $224,000 + Equity + Health Benefits

## What You’ll Get

- Competitive compensation package and benefits.
- Chance to learn and collaborate with some of the most famous researchers in the AI and digital economy space: Andrew Ng, Erik Brynjolfsson, Andy McAfee, and Daniel Rock.
- The unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices.
- A high-trust, high-autonomy work environment.

At Workhelix, we stand committed to ensuring an environment of mutual respect where equal employment opportunities are available without any discrimination. We believe diversity is critical to our success. Selection for employment will solely be based on qualifications, merit, and business needs. We encourage all qualified individuals to apply!

## About Workhelix

## Company Overview
- **One-liner**: Workhelix helps enterprises measure, track, and grow the ROI of their AI investments by combining economic research, data science, and a software platform to identify where AI delivers value.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2022
- **Founders**: James Milin (CEO), Erik Brynjolfsson (Co-Founder & Co-Chairman), Andrew McAfee (Co-Founder), Daniel Rock (Co-Founder & CTO)

## Core Business
- **Primary industry/industries**: AI ROI Analytics, Enterprise Software, Tech-Enabled Services
- **Target customers**: Large enterprises (B2B) — including Accenture, Wayfair, and Coursera
- **Mission or purpose statement**: "To identify and measure with rigor and clarity the benefits of disruptive technologies." Their vision is "To help organizations and their people thrive in a rapidly changing world."

## Products & Services
- **[Nucleus Platform]**: The enterprise platform that connects workforce data and AI usage history to deliver a prioritized view of AI opportunities, hidden superusers, gaps in adoption, and estimated time/money savings. It provides role-level analytics to quantify ROI.
- **[Task-Scoring Methodology]**: A proprietary, research-backed approach that breaks down jobs into specific tasks and scores each for suitability to be accelerated by generative AI, creating a data-driven deployment roadmap.
- **[ROI Monitoring Suite]**: Applies Nobel Prize-winning economics to provide ongoing, accurate insights into the impact of GenAI implementations.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding raised — **USD 30.3 million** across two rounds (a $15.3M round in November 2024 and a $15.0M Series A in March 2025).
- **Notable Investors/Partners**: AIX Ventures (lead), Andrew Ng’s AI Fund, Accenture Ventures, Bloomberg Beta, and angel investors including Reid Hoffman (LinkedIn co-founder), Mira Murati (OpenAI co-founder), Jeff Dean (Google DeepMind Chief Scientist), and Yann LeCun.
- **Growth Signals**: 17 employees (+26.3% YoY headcount growth), active job postings for Forward-Deployed roles, strong enterprise demand with zero paid advertising for first dozen customers, and recent $15M Series A funding to expand task/KPI tracking and internal tools.

## Competitive Advantages
- **Academic Roots & Credibility**: Founded by world-renowned economists (Erik Brynjolfsson, Andrew McAfee, Daniel Rock) from MIT, Stanford, and Wharton, giving the methodology deep research legitimacy that competitors lack.
- **Rigorous, Task-Level Approach**: Unlike broad-stroke consulting, Workhelix breaks down every role into thousands of individual tasks and scores each for AI suitability, providing a quantitative, defensible roadmap.
- **Nobel Prize-Grade Economics**: The ROI monitoring applies advanced economic frameworks (from Nobel Prize-winning research) to measure impact, not just usage.
- **All-Star Network**: Backed by an unparalleled roster of AI and tech luminaries (Hoffman, Ng, Murati, Dean, LeCun), providing credibility, network effects, and strategic guidance.

## Strategic Focus
- **Expand Task & KPI Coverage**: The Series A capital is being used to increase the number of tasks and KPIs the software tracks.
- **Scale the Human+Software Model**: Workhelix deliberately combines its Nucleus platform with expert support (data scientists working directly with enterprise customers), creating a defensible tech-enabled services model. They plan to improve internal tools for these data scientists.
- **Lead the AI ROI Category**: The company sees a massive gap in the market for rigorous, data-driven AI value measurement and aims to become the standard for enterprises trying to justify and optimize their AI spend.

## Why Work Here
- **Mission-Driven & High Impact**: Work on the defining business problem of the decade — helping enterprises unlock the trillion-dollar opportunity of AI productivity.
- **World-Class Founding Team & Network**: Work alongside and learn from founders who are the most cited researchers in the field, plus get exposure to an advisory network that includes AI pioneers.
- **Strong Culture & Principles**: The company operates on five clear leadership principles: *Evidence Always*, *Customer Obsession*, *Bias for Action*, *Debate and Commitment*, and *Extreme Ownership*. They practice "minimum viable permission-seeking" and emphasize speed.
- **Dogfooding AI**: The company lives its mission — AI use is a reflex for everyone, used to elevate the quality, speed, and rigor of work.
- **Location & Work Style**: Headquarters in Palo Alto, CA. Open roles include Forward-Deployed Strategist and Forward-Deployed Software Engineer, suggesting a hybrid model with client-facing work.
- **Growth Trajectory**: With 26% yearly headcount growth, active hiring, and a fresh $15M Series A, this is an early-stage company with significant upward mobility for early employees.

## Sources
1. [workhelix.com](https://www.workhelix.com/)
2. [workhelix.com/careers](https://www.workhelix.com/careers)
3. [Greenhouse Job Board](http://job-boards.greenhouse.io/workhelix)
4. [LinkedIn Company Page](https://www.linkedin.com/company/workhelix)
5. [TechCrunch](https://techcrunch.com/2025/02/27/workhelix-taps-years-of-research-to-help-enterprises-figure-out-where-to-apply-ai/)

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