--- title: 'Director Product Management at Recast' canonical: 'https://feeny.ai/job/director-product-management-recast-remote-a8dz74pj07zk' type: 'job' last_seen: '2026-10-16' --- # Director Product Management at Recast - **Company:** Recast - **Location:** Remote - **Work type:** remote - **Posted:** 2026-08-28 - **Last confirmed live:** 2026-10-16 - **Apply:** https://job-boards.greenhouse.io/recast/jobs/5409366008 ## Job description We’re hiring an experienced Product Management leader  to help us build the future of marketing planning and analysis. Recast’s platform includes a flagship marketing mix model and planning suite along with a platform for designing and analyzing geographic-level incrementality experiments all delivered through a user-facing application, public API, and MCP server. At Recast, you will report directly to the CEO and work closely with the leadership team to convert business strategy into the product roadmap. You will work closely with engineering leadership to prioritize and scope work to maximize the amount of value created for our customers. You will oversee our team of product managers as a player-coach. Because we’re a small (but mighty!) team you will need to own parts of the product as an IC while you also manage and upskill the team. What you will do in your first 6 months: - Go deep on Recast’s product and customers: understand how our technical users engage with our products, what their needs are, and where the friction is. - Build a clear product roadmap for the next two quarters. Include a process for updating the roadmap as priorities change. - Co-own go to market: the work isn’t shipped until users are getting value out of the feature, so PMs are expected to work closely with marketing and GTM teams on how to successfully deliver products people are willing to pay for. - Set the standards for product metrics and how we measure success - Keep stakeholders across sales and leadership informed on what’s in flight and why Things you probably have experience in: - 10+ years PM experience at B2B SaaS companies with meaningful experience in data or analytics products - A proven track record shipping complex technical products in a fast-moving environment - Shipping API products: you understand how technical customers consume your products and how to spec them clearly - Productizing data-heavy statistical and machine learning models - Working heavily with AI tools, and ideally thinking about how to utilize them to make new and better product experiences Things that should excite you that might scare off other folks: - Translating PhD-level statistical research into executable engineering specs - Working closely with the CEO to (not a PM, strong product perspective) to build the roadmap and prioritize initiatives - Being part of a remote, async-first team spread across time zones where clear written communication is essential - Having a wide scope: you’ll be a player-coach both owning execution on certain product initiatives as well as managing a team What we offer you: - Work wherever you're happiest. We're fully remote - Competitive remote salary along with early-stage equity - Highly skilled coworkers you can learn from and who are eager to learn from you - An async-first culture with a focus on documentation over standing meetings - Autonomy and support to do your best work in your own time - Your local holidays plus unlimited PTO (minimum 2 weeks mandatory PTO!) Note: Recast is committed to building a diverse team so if you are from an under-represented background in tech (e.g., women, BIPOC, etc.) please apply even if you don't necessarily check all of the boxes here. While Recast is officially based in the US, we're a fully remote team (one founder lives in Brooklyn, the other in Mexico City with team members in 6+ countries around the world). We can't sponsor visas at this time, however we are happy to have you join remotely from wherever you are. If this sounds interesting to you, we'd love to learn more about you! ## About Recast ## Company Overview - **One-liner**: Recast provides a rigorous incrementality measurement and forecasting platform powered by proprietary Bayesian marketing mix models, helping marketers optimize billions in annual spend. - **Entity Type**: Private (Seed stage; total funding $4.5M) - **Headquarters**: New York, New York, United States; also has an office in Minneapolis, Minnesota - **Founded**: ~2021-2022 (Pre-Seed round closed October 2022) - **Founders**: Michael Kaminsky and Tom Vladeck (Thomas Vladeck, Co-Founder & Co-CEO) ## Core Business - **Primary industry**: Marketing Technology / Marketing Measurement & Analytics - **Target customers**: B2B; Fortune 500, CPG, fintech, pharmaceutical, and DTC brands (e.g., Block, Canva, PODS, Harry’s, Los Angeles Times) - **Mission or purpose**: "Rid the world of wasted marketing spend" – help marketers measure the unmeasurable and save millions of advertising budget. ## Products & Services - **Recast MMM**: Proprietary Bayesian Marketing Mix Model that measures true incremental impact of marketing spend across all online and offline channels. Includes weekly automated refreshes, forecasting, budget optimization, and goal tracking. SaaS platform. - **GeoLift by Recast**: Standalone geo-based incrementality testing platform for running geo-lift experiments (spend-up, spend-down, go-dark). Self-service, with synthetic control and proprietary REBA algorithm. Starts at $100/month after a 6-month free tier. - **Planning & Forecasting Tools**: Interactive dashboards for scenario analysis, goal tracking, and pacing – all backed by weekly validated forecasts with >95% accuracy. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total funding $4.5M (Pre-Seed $1.1M Oct 2022; Seed $3.4M Dec 2022 led by Lerer Hippeau) - **Notable Investors/Partners**: Lerer Hippeau (lead investor in Seed round); badged Meta Measurement Partner; SOC 2 compliant - **Growth Signals**: - Manages over $5 billion in annual marketing spend (up from $3B in earlier data) - Headcount of 57 employees (+52% YoY growth; +156.5% LinkedIn follower growth YoY) - Clients include major names: Block (Square, Cash App, Afterpay), Canva, PODS, Rocket Money, Harry’s, LA Times, GetYourGuide, KOHO, Daily Harvest, Jackpocket - Novel research published: multi-stage MMM, time-varying ROIs, upper/lower funnel interaction, spike/promotion modeling ## Competitive Advantages - **Scientific rigor**: More than 20% of employees hold a PhD in math, statistics, or engineering; 40,000+ parameters re-estimated weekly per model (vs. 100-500 for open-source alternatives) - **Transparency ("Nowhere to Hide")**: Full model documentation publicly available at docs.getrecast.com; weekly out-of-sample forecast accuracy published to clients; no manual coefficient adjustments - **Proven accuracy**: >95% cumulative forecast accuracy validated weekly across 3,000+ production models - **Novel methodology**: Proprietary Bayesian MMM with time-varying parameters, hierarchical modeling of upper/lower funnel, multi-stage conversion funnel modeling, and promotion spike modeling ## Strategic Focus - Continue advancing media mix modeling research and methodology (e.g., multi-stage MMM, time-varying ROIs) - Expand client base across verticals (CPG, fintech, pharma, DTC) and geographies - Deepen platform capabilities for planning, forecasting, and incrementality testing to become the central source of truth for marketing measurement - Maintain high bar for model quality and transparency to differentiate from black-box competitors ## Why Work Here - **Culture**: "Built by scientists, for marketers" – strong emphasis on scientific integrity, intellectual honesty, and telling clients uncomfortable truths when needed. High autonomy and ownership. - **Remote/Hybrid**: Remote-friendly with physical offices in Minneapolis and New York. Many roles listed as remote (e.g., Marketing Data Scientist, Account Executive, Engineering Manager, Senior Software Engineer). - **Team composition**: Small but growing (57 people); high concentration of PhDs in math/stats; cross-functional collaboration between engineering, data science, and marketing science. - **Impact**: Work directly on solving hard causal inference problems that save clients millions; see your models influence billions in media spend. - **Notable perks**: Free unlimited use of GeoLift for 6 months; access to cutting-edge research; weekly model accuracy scorecards keep everyone accountable. ## Sources 1. [getrecast.com – Careers/Jobs](http://job-boards.greenhouse.io/recast) 2. [getrecast.com – Company Overview & Methodology](https://getrecast.com/recast-llm-information/) 3. [getrecast.com – Main Site](https://getrecast.com/) 4. [Built In – Recast Company Profile](https://builtin.com/company/recast-getrecastcom) 5. [LinkedIn – Recast Labs, Inc](https://www.linkedin.com/company/recastlabs) ## Other roles at Recast - [Enterprise Demand Gen Lead](https://feeny.ai/job/enterprise-demand-gen-lead-recast-remote-th6j784dpa1p) - [Marketing Data Scientist](https://feeny.ai/job/marketing-data-scientist-recast-remote-pjvhv492ehg3)