Full-Time

Senior Product Manager

Workhelix

Workhelix

11-50 employees

Data-driven upskilling platform for workplaces

Compensation Overview

$165k - $200k/yr

+ Equity

San Francisco, CA, USA

In Person

Category
Product (1)
Required Skills
Data Visualization
Data Science
Product Management
SQL
A/B Testing
Data Analysis

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Requirements
  • At least 5 years of product management experience, ideally including exposure to 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.
  • Ability to identify customer problems worth solving and prioritize product work ruthlessly.
  • Comfort working with experimentation and analytics, including A/B testing, statistical significance, metrics, and funnels, and partnering with engineering and data teams on pipeline and dashboard topics.
  • A track record of strong cross-functional influence and excellent written communication.
  • Analytical thinking, curiosity, and rigor in ambiguous environments.
  • A customer-centric approach to translating complex data into software-led, actionable strategies.
  • Ability to exercise judgment on minimum scope, ship quickly, and iterate using customer feedback.
  • Ability to reduce complexity and simplify ambiguous or complex problems.
  • Ability to guide, lead, and collaborate effectively.
  • Ability to engage stakeholders at every level.
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 Chief Technology Officer to define milestones, align on key performance indicators, and deliver measurable business value.
  • Lead development of products used to measure generative artificial intelligence impact.
  • Partner with data science to turn statistical models and economic insights into user-facing features.
  • Ensure statistical rigor in product designs, including confidence intervals and control groups, without over-complicating the user experience.
  • Partner with the Tech Lead to build the platform integrations roadmap for customer data ingestion.
  • Conduct deep discovery with technical end users, such as engineering leaders and data scientists, to identify latent needs.
  • Translate abstract customer goals into structured problem statements, solutions, and product specifications.
  • 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 senior leadership end users.
  • Drive consistency in interaction patterns across complex user workflows.
  • Establish and monitor product metrics and dashboards to track adoption and impact.
  • Manage and evolve roadmaps across the flagship product to reflect customer pain points and deliver measurable value.
  • Keep cross-functional teams focused and accountable while shipping high-quality features on time.
  • Scope features effectively to ship quickly without overengineering while addressing customer problems.
  • Establish customer feedback channels and integrate insights into the development cycle.
  • Apply conceptual and practical knowledge of artificial intelligence tools in daily product work.
Desired Qualifications
  • Strong understanding of data visualization best practices and user-centered design for technical audiences, including influence from Edward Tufte's ideas.
  • Background in building developer tools or productivity platforms.
  • Fluency with SQL and comfort working in notebooks or prototyping with basic datasets.
  • Experience in a high-autonomy team environment.
  • Familiarity with economics or return-on-investment measurement frameworks.
  • Experience with enterprise software-as-a-service tools and security and privacy considerations.
  • Prior exposure to generative artificial intelligence products or artificial-intelligence-enhanced user interfaces.

WorkHelix provides a data-driven upskilling platform for organizations to manage talent in a changing job market. It helps businesses attract and retain talent, assess exposure to automation, and identify roles suitable for remote work. The platform operates on a subscription model and combines proprietary data with research to deliver actionable insights. Core features include a Work From Home (WFH) index, skills evaluation, competitive intelligence, and reskilling capabilities, all accessible through a centralized platform. Unlike generic HR tools, WorkHelix relies on its own data and analytics to guide workforce decisions, enabling companies to plan talent development, remote-work strategies, and automation readiness. The company’s goal is to help organizations optimize their workforce strategy, build resilience against automation, and improve business performance through targeted upskilling and strategic workforce planning.

Company Size

11-50

Company Stage

Series A

Total Funding

$15M

Headquarters

Beaverton, Oregon

Founded

2021

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Simplify Jobs

Simplify's Take

What believers are saying

  • Nucleus launched August 6, 2026 with live customers and quoted Nasdaq results.
  • Workhelix has raised $18.5 million, including AIX Ventures and Accenture Ventures support.
  • Enterprises leave up to 98% of identified AI value untapped, expanding urgency for Nucleus.

What critics are saying

  • Accenture LearnVantage can absorb Workhelix workflows and squeeze margins by 2027.
  • Most enterprises still lack production AI, limiting Workhelix to a narrow scaled-deployment market.
  • If Nucleus misses measurable ROI fast, pilots die and sales cycles stall.

What makes Workhelix unique

  • Workhelix combines MIT, Stanford, and Wharton research with task-level AI ROI measurement.
  • Nucleus uses HRIS and AI usage data to map opportunity and adoption in one system.
  • Nasdaq, Autodesk, and LogicMonitor validate enterprise demand for board-ready AI value analytics.

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Benefits

Health Insurance

401(k) Retirement Plan

Remote Work Options

Competitive compensation package and benefits

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

4%

2 year growth

9%
TechRseries
Aug 7th, 2026
Workhelix launches Nucleus, the first platform to close the loop between AI opportunity and outcomes.

Workhelix launches Nucleus, the first platform to close the loop between AI opportunity and outcomes. Empowering leaders to know and grow the ROI of their AI. Every enterprise is investing heavily in AI, yet most executives can't answer a critical question of whether it's actually creating value. Workhelix announced Nucleus, a SaaS platform built on research by AI and economics experts from MIT, Stanford, and Wharton, that continuously measures AI's business impact while showing leaders where to focus next to maximize returns. "Turning AI's extraordinary capabilities into measurable business value is the central mission of my career and why I co-founded Workhelix. Nucleus helps leaders identify where AI can create the most value and measure whether that value is being realized." While enterprises have dashboards showing AI activity, few have visibility into AI value. Leaders know how many people have access to AI, but not whether the right people are using it, where the biggest opportunities remain, or whether adoption is translating into measurable business outcomes. Nucleus unifies opportunity mapping and adoption tracking so companies can see their AI progress in one place, in real time. A study co-authored by a Workhelix co-founder found that nearly 20% of U.S. workers could have at least half their tasks accelerated by generative AI. For a typical Fortune 500 company, that represents hundreds of millions of dollars, but identifying that opportunity is just the beginning. "Turning AI's extraordinary capabilities into measurable business value is the central mission of my career and why I co-founded Workhelix. Nucleus helps leaders identify where AI can create the most value and measure whether that value is being realized," said Erik Brynjolfsson, co-founder at Workhelix, Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. "We're entering an era where competitive advantage won't come from having access to AI; it will come from effectively applying it and proving that it's working. Nucleus gives organizations both of those capabilities," said James Milin, co-founder and CEO of Workhelix. Workhelix's customers include U.S.-based enterprise organizations such as Autodesk, LogicMonitor, and Nasdaq. Workhelix has found that companies leave up to 98% of identified AI value on the table, with the biggest opportunity concentrated among employees who haven't yet reached high AI adoption. Closing the gap is where Nucleus customers are already seeing results: * A cloud infrastructure company generated more than $85,000 in value and saved over 800 hours of work from just six AI power users. * A global financial exchange increased employee time savings from AI more than sixfold in one year. * Nearly one in four employees at that company has now built an AI agent. Nucleus turns AI usage data into a clear, board-ready picture that: * Quantifies enterprise-wide AI value in dollars and hours saved * Identifies the highest-return AI opportunities across the organization * Reveals which teams and employees drive the greatest AI impact, and what top performers do differently * Shows leaders exactly where AI adoption needs to grow next "Workhelix has helped Nasdaq evaluate and quantify AI's impact across the company, leveraging deep, role-level analytics to identify impact, capture value, and unlock new growth opportunities," said Michael O'Rourke, SVP of AI and Machine Learning Engineering, Nasdaq. As AI moves from experimentation to enterprise impact, organizations need systems that manage AI transformation with the same rigor applied to finance, security, and operations. Nucleus enables enterprises to turn AI investments into measurable value. [To share your insights with us, please write to [email protected]]

FinSMEs
Feb 28th, 2025
Workhelix Secures $15M Series A Funding

Workhelix, a tech-enabled services company based in Palo Alto, CA, raised $15M in Series A funding. The round was led by AIX Ventures with participation from AI Fund, Accenture Ventures, BGV, Bloomberg Beta, and others. The funds will be used to expand operations and development efforts. The company helps enterprises maximize AI investments and has customers like Wayfair and Coursera. The founding team includes Erik Brynjolfsson, Andrew McAfee, James Milin, and Daniel Rock.

Business Wire
Feb 28th, 2025
Accenture Invests in Workhelix to Help Organizations Prepare their Workforces for Generative AI

Accenture has invested in Workhelix, a tech-enabled services company that helps organizations get the most out of their AI investments.

HrTechwire
Feb 27th, 2025
Accenture Invests in Workhelix to Help Organizations Prepare their Workforces for Generative AI

Accenture has invested, through Accenture Ventures, in Workhelix, a tech-enabled services company that helps organizations get the most out of their AI investments.