Senior Product Engineer

Workhelix • San Francisco, CA

107d • $150,000 - $224,000

About The Position

Workhelix is an enterprise SaaS company focused on helping organizations maximize their AI investments. We provide leaders with answers to critical questions about AI's business value, including identifying top opportunities, measuring current efforts' ROI, and accelerating AI benefits. Our approach combines expertise in economics, AI, and data science, utilizing a unique task-scoring method for GenAI opportunities and a Nobel Prize-winning economics-based ROI monitoring suite. We are supported by renowned AI and Economics thinkers such as Andrew Ng, Erik Brynjolfsson, and Andy McAfee. Our culture is built on five key principles, detailed on our website's careers page.

Requirements

• 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 Haves

• 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.

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.

Benefits

• 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.
• Health Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed