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PitchBook

PitchBook

Fintech · Private market data & analytics

Currently tracking 9 active AI roles, up 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$175k (avg $158k).

Hiring
9 / 9
Momentum (4w)
↑+2 +11%
21 opens last 4w · 19 prior 4w
Salary range · avg $158k
$140k–$175k
USD · disclosed roles only
Tracked since
Jan '25
last role yesterday
Hiring velocityscroll left for older weeks
2 new roles
Jan 6
1 new role
Oct 13
3 new roles
Nov 17
1 new role
24
1 new role
Dec 1
2 new roles
8
1 new role
22
3 new roles
Jan 5
1 new role
12
2 new roles
19
1 new role
26
2 new roles
Feb 2
5 new roles
9
3 new roles
16
10 new roles
23
4 new roles
Mar 2
3 new roles
9
3 new roles
16
9 new roles
23
4 new roles
30
3 new roles
Apr 6
3 new roles
13
6 new roles
20
8 new roles
27
5 new roles
May 4
2 new roles
11

Jobs (2)

9 AI · 84 total active
FilteredFunctionProduct×CountryUnited States×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllServe · 2Agent · 7
Function
AllEngineering · 7Product · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Sr. Manager, Product Management
PitchBook is seeking a Product Management leader to own the strategy, execution, and team for Navigator, their AI platform experience. This role involves defining the product strategy and roadmap for the conversational interface, agent routing architecture, persistent workspace, and specialist agents. The leader will manage a team of product managers, collaborate with Engineering, Design, and Data Science, and be a key voice in PitchBook's broader AI strategy. The role requires AI product intuition, private markets domain knowledge, and leadership skills to drive a high-velocity initiative.
AgentProductSeattle, WA2w ago7
Technical Product Manager, AI Enablement
Technical Product Manager for AI Enablement at PitchBook. This role focuses on owning the product vision and roadmap for internal AI enablement platforms, including managed model and tool access, shared context layers, agent frameworks, and enterprise AI workflows. The goal is to make AI easy, safe, and scalable for internal teams, translating ambiguous needs into actionable roadmaps and ensuring successful experiments are operationalized into production-grade capabilities. The role emphasizes enabling AI adoption, reducing friction, increasing speed, and unlocking new capabilities for internal teams using Generative AI and LLMs.
AgentProductSeattle, WAFeb 107