Sr. Product Manager, Internal Tools & Analysis

We’re hiring a Sr. Product Manager to give a small, senior product team leverage. You’ll own a meaningful slice of the product: the important-but-less-nebulous work that keeps a democracy-facing platform trustworthy and scalable. You’ll also own the internal tools that let our program managers run local campaigns at scale, and the testing and analysis that tells us whether what we shipped actually worked.

You’ll join the team building a new platform that bridges divides to regularly identify what constituents truly agree on and help turn it into effective policy and action. We’re setting a course to create something more engaging to citizens, more persuasive to government leaders and more efficient to scale. On this team you’ll own trust and compliance, internal tooling, and testing and analysis, and you’ll be the product team’s main connection to the program managers who run our deliberation cycles.

The ideal candidate is an AI-native product manager who likes clear problems and rigorous follow-through. They are comfortable in the messy middle: tightening a moderation rubric one hour, reading out an A/B test the next, then sitting with a program manager to work out what their next campaign needs from the platform. They understand and embrace AI as a means to multiply their output and replace toil with leverage. Most critically they want to be part of a pragmatic and ambitious team made up of the best people in the world operating with integrity and urgency. This is a chance to help build something that matters—connecting product, program management, and marcoms so a small, senior team can punch far above its weight.

More on the problem space: Democracy is under strain. Only 28% of Americans say they are satisfied with how it works today, the lowest level ever recorded. At the same time, AI-driven economic and social disruption will demand faster, more effective government responses than our institutions are built to deliver. We are building a product to surface the public will on major issues by combining large-scale civic input with informed, representative dialogue, then activate that will at scale by mobilizing millions to shift the incentives that shape public policy. By using the same technologies that threaten democratic legitimacy, we aim to give citizens more voice than ever before, identify shared agreement across political differences, and enable collective intelligence at scale.

Change.org is a public benefit company and the world’s largest social change platform, with 100M users and more than 40,000 campaigns launched monthly. Our 100% user-generated revenue model enables us to invest in new products that support healthier, more participatory democracies worldwide. This team will operate as a start-up within Change.org, benefiting from strong culture, stability and mission orientation.

Key outcomes

• Own the product work that keeps a democracy-facing platform trustworthy: moderation systems and rubrics, privacy and policy obligations (such as GDPR), and the due diligence that comes with a product close to public officials and public decisions.

• Own the internal tools and admin layer for our operations team. Much of what they do to scale campaigns, like city research, decision-making, and building materials for local government partners, isn’t productized yet. You’ll partner with a dedicated engineer to change that, treating ops as a core customer.

• Be the key liaison to the program managers who run our deliberation cycles. Support and coordinate across campaigns from the product side, from platform setup and audience acquisition through in-cycle monitoring and post-cycle reporting, so we build a cohesive product with them in mind and carry their insights, and those of our decision-maker users, back into what we build.

• Own experimentation and analysis: design and run A/B tests, carry testing through after features launch so it doesn’t pile up, instrument cycles, build dashboards, and write up findings the team can act on. Where we rely on LLM-based or human evaluation rubrics, audit them and make sure the signal we trust actually deserves it.

• Manage external partners and vendors—paid acquisition partners, tooling vendors, contractors, and other external collaborators—so internal partners aren’t task-switching into vendor coordination.

• Connect the pieces across groups, particularly marcoms and program management, so campaigns, launches, and product changes stay coordinated. Take the “par-baked” first pass on analyses and synthesis so product, design, and engineering can move faster.

• Handle user inbound requests, monitoring and creating a system to respond and learn from these inputs

• Extend the product management and design functions where needed—running discovery, drafting briefs, herding cross-functional initiatives, and bringing things over the line in code with the help of our Claude-centered AI development process.

The most important core competencies for the role are:

• Product Execution & Rigor: You design and run repeatable processes that compound. You treat internal tools and operational workflows as a product surface—designing, instrumenting, and iterating on them the same way you would on a feature. You’re comfortable owning the unsexy middle, and you get satisfaction when something boring becomes automatic.

• AI Fluency: You use AI tools fluently to multiply your output—drafting, analyzing, coding, automating, evaluating. You can stand up an LLM-based eval, run a deep research pass, or wire up a small agentic workflow to replace a manual task. You understand the difference between what AI is good at and where a human still needs to sit in the loop.

• Analytical Instincts: You can move from a fuzzy question to a clean answer. You’re comfortable in spreadsheets, SQL, and product analytics tools, and you know how to combine quantitative signal with qualitative read to tee up decisions. You take eval design seriously—you ask whether a metric measures what it claims to measure, and you redesign it when it doesn’t. You write up findings crisply and you don’t bury the lede.

• Judgment in High-Trust Work: You’re careful with work where the stakes are public: moderation calls, privacy obligations, and how the platform treats public officials and the people who take part. You know when a decision needs a rubric, a second opinion, or a written policy, and you put one in place.

• Bias for Action: You’re hungry to own outcomes and you’d rather ship a rough version and learn than wait for perfect. You spot what’s slowing the team down and just fix it. You treat ambiguity as opportunity rather than a blocker.

Target experience

• 5+ years of product management experience, or product-adjacent roles (product analytics, product ops) where you owned shipped outcomes

• Experience building for operators, admins, or intermediaries as well as end users; B2B SaaS and internal-tooling backgrounds are a strong fit

• Experience in regulated or high-trust domains (benefits, payroll, fintech, health, trust & safety, or civic and policy teams at tech companies) is a strong plus

• Strong analytics chops: fluent in quant and qual analysis, comfortable with experimentation (A/B tests, holdouts), and familiar with product analytics tools (Amplitude, Mixpanel, or equivalent). Direct experience designing or auditing evaluation frameworks is a strong plus.

• Hands-on experience using AI tools to do real work—e.g., shipping prompts into a product, building LLM-based evals, using Claude Code or Cursor, or wiring together agentic workflows. Curiosity is not enough; we want to see what you’ve actually built or run.

• Experience with paid acquisition (Meta Ads, Google Ads, or similar) and managing external partners or vendors is a strong plus

• Background in civic tech, deliberative democracy, journalism, or policy is a plus but not required—mission fit matters more than domain experience

Interested? Great! Here’s what you should know:

This is a full time, remote role based in the United States.

Our compensation philosophy is based on pay equity. All of our salaries are determined before we launch a role – they are based on a predetermined salary scale, the level on that scale and the cost of labor for that location. The annual salary for a Sr. Product Manager is $179,500 in SF and NYC, $170,500 in Austin, Boston, Chicago, Los Angeles, Seattle, and Washington D.C., and $152,500 in all other US locations.

U.S. benefits include unlimited PTO, 18 weeks of fully paid parental leave, 100% company-paid healthcare premiums, and a variety of other wellness perks.

Our evaluation process is as follows:

• Recruiter screen

• Screen with the hiring manager

• Asynchronous work sample (a realistic product and analysis task drawn from the actual work)

• Case study / structured working session

• Final interviews with 3 cross-functional team members

• Reference checks