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Workhelix · 5 months ago

Senior Product Manager

San Francisco, California

Full-time

Onsite

Senior Level

7+ years exp

Workhelix is a tech-enabled services company focused on maximizing AI investments for organizations. The Senior Product Manager will lead product strategy and development for data-intensive features, collaborating with cross-functional teams to create user-friendly solutions that deliver business value and insights from AI implementations.

Artificial Intelligence (AI)Information TechnologySoftware

Responsibilities

Own the product roadmap for data-intensive, insight-delivering features

Prioritize product investments that balance short-term speed with long-term architectural and strategic integrity

Partner with the Head of Product and CTO to define milestones, align on KPIs, and deliver measurable business value

Lead development of Workhelix products used to measure GenAI impact

Partner with data science to turn statistical models and economic insights into user-facing features

Ensure statistical rigor in product designs—confidence intervals, control groups, etc.—without over-complicating UX

Partner with Tech Lead to build out platform integrations roadmap to enable customer data ingestion

Conduct deep discovery with technical end-users (e.g., engineering leaders, data scientists) to identify latent needs

Translate abstract customer goals into structured problem statements, delightful solutions, and product specs

Develop and maintain detailed product requirements, user stories, and journey maps

Collaborate with engineering and design on solutions that balance feasibility, usability, and complexity

Drive sprint planning, backlog prioritization, and execution quality

Partner with forward-deployed teams to ensure successful delivery and feedback integration

Define intuitive ways to present complex metrics, statistical models, and benchmarks to end users who are typically in senior leadership roles (C-Suite, SVP/VP, Directors, Heads of)

Drive consistency in interaction patterns across complex user workflows

Establish and monitor product metrics and dashboards to track adoption and impact

Qualification

Product managementData-heavy productsExperimentation systemsData visualizationSQLUser-centered designAgile methodologiesCross-functional collaborationCommunication skills

Required

7+ years of product management experience, with at least 3+ years leading data-heavy products in experimentation, analytics, or fintech domains

Demonstrated ability to own an end-to-end product lifecycle in fast-paced, high-stakes environments

Deep familiarity with experimentation systems: A/B testing, multivariate testing, statistical significance, cohorting, feature flagging, etc

Strong understanding of data visualization best practices and user-centered design for technical audiences. You draw influence from Tufte's ideas

Experience working closely with engineering and data teams; ability to engage on API, metrics pipeline, and dashboard topics

Track record of strong cross-functional influence and excellent written communication

Preferred

Background in building developer tools or productivity platforms

Fluency with SQL and comfort working in notebooks or prototyping with basic data sets

Experience in high-autonomy team environment

Familiarity with economics or ROI measurement frameworks

Experience with enterprise SaaS tools and security/privacy considerations

Prior exposure to GenAI products and/or AI-enhanced user interfaces

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.