--- title: 'Principal Product Manager (Agentic Platform) at Exactera' canonical: 'https://feeny.ai/job/principal-product-manager-agentic-platform-exactera-remote-6qrhxvc13yaa' type: 'job' last_seen: '2026-09-11' --- # Principal Product Manager (Agentic Platform) at Exactera - **Company:** Exactera - **Location:** Remote - **Work type:** remote - **Posted:** 2026-06-22 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/exactera/jobs/7779805003 ## Job description Exactera has offices in New York City, Tarrytown NY, San Diego, CA, London, and Argentina. Abou the role Exactera helps large multinationals handle complex tax work: transfer pricing, R&D tax credits, indirect tax, and audit defense. We are moving from a software-and-services model to an AI-native platform that does the work itself, with tax practitioners applying judgment where defensibility requires it. This role owns the product direction for the agentic platform behind that shift: the system that enables AI agents and practitioner tools to run tax analysis on trusted, current data. The data foundation (a lakehouse, external sources, and the contracts that keep them reliable) is the substrate. The product is what agents and practitioners can do with it. You work directly with the Principal AI Engineer, who owns the AI/ML architecture, and the Principal Data Engineer, who owns the data tier. You own what the platform does, in what order, and why. Because you define how the company’s practitioners and agents use AI, you have to work deeply in these tools yourself. Exactera is growth-stage, so the role comes with equity and the room to set the platform’s direction yourself. ## What you'll do The six outcomes that define success in the first 18 months. O1. Own the product strategy and roadmap for the platform. You own what the platform is for and what it builds next. The roadmap ties to practitioner outcomes rather than feature counts. When priorities compete across engineering, product, and the practice teams, you decide and keep everyone working from the same plan. O2. Define what compliance-grade means for this platform. Tax work has to be defensible. You set the product requirements that make the platform’s output trustworthy: where results must be deterministic, what guardrails constrain agent behavior, how tool access is scoped, and what has to be auditable. You decide where human judgment stays in the loop. This is the bar that regulated tax work requires and general AI tooling does not clear. O3. Own the agentic access surface. The platform’s main product is the surface AI agents and practitioner tools use to reach data and act on it. You own that surface: the interface, the contracts behind it, and the limits on what agents can do. How this works decides how the whole platform gets used. O4. Treat the data foundation as a product. The data foundation is what the rest depends on, so you manage it as a product. With the Principal Data Engineer, you set the contracts between data producers and consumers: schema, quality, and freshness as commitments practitioners can rely on. O5. Make external data a platform capability. The platform is only useful if it reflects what happens outside it: regulatory changes, SEC filings, financial data, third-party sources. You decide which sources matter and how they show up in the product, weighed against their cost. Each is a coverage and value decision. O6. Measure success by practitioner outcomes. You measure success by what practitioners can do with the platform: faster, more accurate work with less of it done by hand. A pipeline in production that does not change a practitioner’s day has not succeeded. ## What we're looking for Required - 10+ years in product management, with significant time on technical platform, data, or ML products. You have owned a platform or major product area at Principal-level scope and driven it across teams without positional authority. - Able to set product direction across a modern data platform. You understand Lakehouse and medallion patterns, data contracts, quality, and lineage well enough to decide direction and hold credibility with platform engineers, without needing to build it yourself. - Track record owning AI or ML platform work from an ambiguous problem through to production. - Strong understanding of agentic AI systems and the data access they require: retrieval, tool calling, MCP or equivalent. You can reason about how agents reach data and what should constrain them. - Experience with AI systems where correctness and defensibility matter. You have worked on evaluation, guardrails, or human-in-the-loop design, and you understand why a regulated workflow needs more than a capable model. - You decide what success means for a platform and measure it by practitioner results. - You communicate clearly across engineering, product, and the practice teams. You hold a high bar without leaning on process, and you work well in ambiguity. - You use AI tools as part of how you work day to day, and you share what you learn with the people around you. ## Preferred - Experience in tax, financial reporting, regulatory compliance, or another regulated, data-intensive professional services domain. - Built or governed data products, internal or external, including external-data sourcing and licensing and the trade-offs between coverage, cost, and reliability. - Hands-on familiarity with Databricks, Delta Lake, or a comparable lakehouse platform in production. - Background in tech-enabled services or a SaaS-to-services transition like the one Exactera is making. - Built a platform or major product area from early stage. What We Offer: (The following only applies to US-based positions) - A collaborative team culture with opportunities for career development. - Ample opportunities to be recognized, build valuable skills, and grow your career. - Generous vacation policy, including paid parental leave. - Comprehensive health plans with FSA and HSA options. - 401(k) retirement plan. - Life and disability insurance coverage. - Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program. About Us: At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. With over $100 million in funding from Savant Venture Fund and Insight Partners, we are poised for growth. We are committed to diversity, inclusion, and equal opportunities for all. ## About Exactera ## Company Overview - **One-liner**: Exactera provides AI-driven tax compliance and transfer pricing solutions that turn regulatory data into strategic business intelligence for corporate tax departments. - **Entity Type**: Private (pre-IPO, Series stage: multiple rounds including Series B and venture rounds) - **Headquarters**: Tarrytown, New York, USA (with offices in New York City, St. Petersburg (FL), London, San Diego, Rosario (Argentina), and Toronto) - **Founded**: 2016 - **Founders**: Not publicly available ## Core Business - **Primary industry**: Tax compliance software and services, specializing in transfer pricing, R&D tax credits, and income tax provision - **Target customers**: B2B – corporate tax departments (enterprise and mid-market), accounting firms, and multinational corporations - **Mission/purpose statement**: “Turning tax data into business intelligence” – the company aims to make tax compliance a value-add, strategic function rather than a documentation burden ## Products & Services - **Automated Transfer Pricing Solution**: AI-powered platform for generating localized transfer pricing reports at scale for every jurisdiction (SaaS) - **R&D Tax Credit Services**: Expert-led, technology-enabled service to maximize R&D tax credits in the US, Puerto Rico, and Canada (managed service with software) - **Income Tax Provision Solution**: Cloud-based tool for income tax provision calculations and compliance (SaaS) - **License & Service Agreement Database (RoyaltyStat)**: A comprehensive database of arm’s-length royalty rates for benchmarking (data product) ## Market Standing - **Valuation/Market Cap**: Not disclosed (private) - **Key Metric – Annual Revenue**: $20M (reported on LinkedIn) - **Total Funding**: $134M across multiple rounds - Series A (2017): $6M led by Kennet Partners - Series B (2019): $40M led by Insight Partners - Venture Round (2021): $55M led by Insight Partners - Venture Round (2023): $33M led by Insight Partners and Savant Growth - **Notable Investors/Partners**: Insight Partners, Savant Growth, Kennet Partners - **Growth Signals**: - Over 700 corporations and firms worldwide as clients - Pre-IPO status and active hiring (9 open positions as of mid-2026) - Monthly job posting growth of +133% and quarterly growth of +600% - Headcount of 131 employees, operating in 16 countries - Acquired Crossborder Transactions Ltd. ## Competitive Advantages - **AI-native tax platform**: Combines machine learning with deep tax expertise to automate complex, jurisdiction-specific compliance - **End-to-end coverage**: Transfer pricing, R&D credit, and income tax provision – a rare trifecta in tax tech - **Global scale**: Offices and talent in North America, Europe, and Argentina allow 24/7 support and local expertise - **Strategic positioning**: Positioned as a “pre-IPO” leader, attracting talent seeking equity upside ## Strategic Focus - Expanding AI capabilities (Principal AI Engineer and Data Platform roles indicate heavy investment in AI/ML) - Scaling the R&D tax credit and transfer pricing services through technology and expert staff - International expansion (headcount across Argentina, Philippines, UK, Canada, India) - Preparing for an eventual IPO (reinforced by “pre-IPO” language in job postings) ## Why Work Here - **Culture**: Values centered on innovation, people-first, humility, and reimagining possibilities; described as “obsessed with new and better ways of doing things” - **Remote/Hybrid**: Many roles listed as remote (USA and Argentina), with physical offices in New York, Florida, London, San Diego, and Rosario - **Notable perks**: “Great incentives, a fun, positive environment, and the chance to be the best” – plus pre-IPO equity potential for early-stage team members - **Team composition**: Mix of tax experts, AI engineers, data engineers, and sales/marketing – a multidisciplinary environment where tech and tax converge - **Career trajectory**: Growing rapidly in hiring despite a slight headcount dip (likely restructuring), with many senior and manager-level roles open ## Sources 1. [Exactera Website](https://exactera.com/) 2. [Exactera About Page](https://exactera.com/about/) 3. [LinkedIn Company Profile](https://www.linkedin.com/company/exactera) 4. [Built In Company Profile](https://builtin.com/company/exactera) 5. [Greenhouse Careers Page](https://job-boards.greenhouse.io/exactera) ## Other roles at Exactera - [Account Executive, International Tax](https://feeny.ai/job/account-executive-international-tax-exactera-san-diego-ca-or-w03b5bcyz8y8) — San Diego CA OR, United States - [Senior Transfer Pricing Manager](https://feeny.ai/job/senior-transfer-pricing-manager-exactera-rosario-santa-fe-s273648w7ymz) — Rosario Santa Fe, Argentina