About The RolePrivate markets data is operationally immature relative to public markets. Firms are consolidating fragmented data stacks, embedding AI into investment workflows, and demanding programmatic access to verified, structured data. PEI sits at the intersection of all three trends - with proprietary content that cannot be replicated from generic sources.
This role is the commercial lead for PEI's Data-as-a-Service (DaaS) product suite. You will shape new revenue line from scratch - building pipeline, running enterprise sales cycles, structuring commercial deals, and working closely with product and engineering to ensure what we sell can be delivered and scaled. The role is part hunter, part solutions architect, part relationship builder.
Responsibilities:Revenue Generation- Own and deliver against an annual new business revenue target for DaaS, API and MCP products
- Build and manage a pipeline of enterprise and mid-market prospects across GP, LP, fund administrator, service provider, and technology platform segments
- Run full-cycle enterprise sales - from cold outreach and discovery through to commercial structuring, legal negotiation and close
- Convert inbound interest from PEI's existing subscription base into upsell and expansion DaaS opportunities
Market Development- Map the total addressable market for PEI's data products: identify priority segments, size opportunity by client type, and build a structured outreach plan
- Develop and refine the value proposition for each access model by segment, translating technical capability into business outcomes buyers care about
- Represent PEI at industry events (SuperReturn, IPEM, PEI's own events) and in client meetings as the DaaS product expert
Third-Party Redistribution Relationship Management- Own commercial relationships with firms that PEI has authorized to redistribute its data and content - managing the terms, scope, and ongoing compliance of those redistribution agreements
- Negotiate and execute redistribution licenses with third-party platforms, defining permitted use cases, asset class coverage, geographic scope, attribution requirements, and revenue-share or flat-fee commercial structures
- Evaluate inbound requests from platforms seeking redistribution rights - qualifying the opportunity, assessing reputational and data integrity risk, and working with legal to structure appropriate agreements
- Monitor redistribution partners for adherence to agreed terms, flagging unauthorized use or scope creep and managing remediation with legal and compliance
- Work with product and legal to maintain a clear permissions framework that governs what can be redistributed, by whom, and under what conditions - ensuring PEI's proprietary data assets are protected
- Track revenue generated through redistribution channels and report on partner performance against agreed commercial targets
Commercial Structuring- Design and negotiate commercial structures for data licensing deals - usage-based, seat-based, asset class modules, enterprise agreements - working with legal and finance
- Develop a pricing framework for API and MCP products in collaboration with the Head of Revenue and product team
- Own deal documentation, contracting and onboarding handoffs to the customer success and data engineering teams
Cross-functional Collaboration- Feed market intelligence - buyer objections, competitive positioning, feature gaps, pricing feedback - directly into the product roadmap
- Work with PEI's data and engineering teams to ensure pilot implementations are scoped and delivered on time
- Partner with the broader commercial team (AMs, SEs, BDRs) to identify DaaS upgrade opportunities within the existing subscription base
- Contribute to sales enablement materials: demo scripts, case studies, pricing calculators, objection-handling guides
About YouEssential- 5+ years of enterprise B2B sales experience, with a track record of closing six- and seven-figure data licensing or SaaS deals
- Experience selling data products to financial services clients - asset managers, private equity, hedge funds, fund administrators, or similar
- Proven understanding of how data is consumed in investment workflows: ingestion, normalization, modeling, analytics
- Familiarity with API-based data delivery and/or cloud data sharing platforms (Databricks, Snowflake, or equivalent)
- Ability to sell to a dual audience: technical buyers (data engineers, CTOs) and business buyers (investment professionals, IR teams, COOs)
- Strong commercial instinct - comfortable structuring novel deals in a product category that is still being defined
- Excellent communication and presentation skills; credible in front of senior stakeholders at large institutions
Highly Desirable- Experience with MCP, LLM integrations, or AI-native data products - or genuine curiosity about how AI is reshaping data consumption
- Knowledge of private markets specifically: fund structures, the LP/GP relationship, fundraising dynamics, performance benchmarking
- Experience building a sales motion from scratch - defining ICP, building playbooks, and hiring junior team members as the business scales
- Existing network of data, technology or AI leaders within the private markets ecosystem
