Staff Product Manager, Growth (Monetization) (USA Only - 100% Remote)

Since 2013, we've been building a CRM that gets out of our customers' way and helps their teams sell more, faster. No manual data entry, no 10-click workflows. Just communication-first sales software designed to help teams succeed and scale.

We're bootstrapped and profitable - that means we answer to our customers and play by our rules. We're proud of our ~100 person, 100% remote team focused on building Close so that no small, scaling business fails because it can't figure out sales.

Monetization is one of the biggest growth levers Close has. Now we're hiring our first dedicated Staff PM to own it all - pricing, packaging, billing, and placement - across a business that's bootstrapped, profitable, and trying to nearly double our paid customer base by the end of 2027.

This role is both strategy and execution. Close's customers are ambitious small businesses: founders, agencies, coaches, service teams. Understanding how they think about value, price, and software trust is central to this job. But so is the gnarly billing infrastructure underneath them (Stripe, legacy code, edge cases for days).

You'll work across three horizons at the same time:

• Near-term: The conversion engine - Pricing and packaging clarity, checkout, payment methods, the experiments that move free-to-paid CVR and ARPC.

• Medium-term: Our AI credit system - Greenfield! How credits get bought, consumed, displayed, refilled, and tied to plans.

• Longer-term: What our pricing and packaging should look like in a product-led, AI-native world. You'll co-own this with our VP of Product Growth and drive it to a real shared point of view, not a deck of options.

The AI piece of the puzzle is uncharted. Nobody has really figured out how to price AI capabilities yet. A lot of AI products won't fail because the product was bad - they'll fail because the business couldn't figure out how to make money. This problem is yours to solve at Close.

You'll join our Product Growth team and report to our VP of Product Growth.

An experienced owner of monetization work. 6-8 years in SaaS, ideally B2B SMB, with real reps in pricing, packaging, and billing. You've been the person making the calls and shipping the experiments.

AI-forward and builder-minded. You actively use AI to move faster and smarter: exploring, prototyping, automating, and scaling your impact. You might not be an engineer, but you're all about getting your hands dirty, writing scripts, building scrappy prototypes, and orchestrating agents to ship and learn.

Deeply familiar with usage-based billing. You've worked on systems where customer cost is tied to consumption - tokens, API calls, AI credits, transactions. Bonus points if you've been part of standing up a credit system from scratch, or have lived through the migration from pure subscription to hybrid.

Opinionated about AI monetization. You've thought hard about credit systems, token-based pricing, and how to price capabilities with variable inference cost underneath. You internalize that AI is not free margin - real cost (inference, vendors, compute) changes how pricing, entitlements, and product behavior should work. "Just gate it like any other feature" isn't a POV. We want someone who can argue about this and be wrong sometimes and update.

Detail-oriented across both strategy and infrastructure. You're as comfortable debating a price point with the leadership team as you are deep in a Stripe edge case with engineering. Monetization lives in both worlds so you will, too!

A clarity definer, not a clarity seeker. Monetization at Close is ambiguous right now on purpose - we don't have all the answers and we're not pretending to. You see ambiguity as the fun part, not as a blocker.

Naturally cross-functional. This role touches EPD, marketing, finance, sales, support, CS, and external vendors. You build trust fast across functions and can hold your own with senior leadership.

Own the four components of monetization: pricing, packaging, billing, and placement. You'll both set the strategy and run the work.

Move free-to-paid conversion. This is your primary owned metric. You'll build the experiment roadmap, ship the tests, and be honest about what's working and what isn't.

Define and iterate on our AI credit system. This is greenfield. How credits get bought, consumed, displayed, refilled, and tied to plans - all of it is on the table.

Push our pricing and packaging into its next chapter. Think freemium, think reshaping plan structure, think how we package AI alongside core. Place big bets, with the data and customer research to back them.

Partner with engineering on the billing system itself. Stripe, the legacy code, the integrations - you'll be in the work, not just specifying it.

Run rigorous experiments. Crisp hypotheses, sound instrumentation, unvarnished reads on the result.

Be the connective tissue between EPD and GTM. Finance needs to model what you're shipping. Marketing needs to position it. Sales needs to sell against it. Support needs to handle the edge cases. You make all of that work.

Contribute to the North Star: getting Close from 11k paid customers to 20k by end of 2027. New paid customers is the H2 focus. You'll also strongly monitor ARPC, new MRR, churn, AI credit revenue, and usage revenue - even where you don't own them outright.

Build a house you want to live in - Examine long-term thinking and action

No BS - Practice transparency and honesty, especially when it’s hard

Invest in each other - Build successful relationships with your coworkers and customers

Discipline equals freedom - Keep your word to yourself and others

Strive for greatness - Constantly challenge yourself and others

Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint. 

Watch our culture video from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2026, we’re headed to Barcelona, Spain!

Explore our product. Check out a demo!

We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start so please answer each question thoughtfully. We see this as an opportunity to get to know you beyond your resume.

We use AI tools daily at Close and expect candidates do too. In evaluating your application, we aim get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.

Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. 

If you progress to the interview process, you’ll receive a full outline of the role-specific interview process in your first touchpoint with us. We do our best to make the hiring process clear and human.