Principal Product Manager

Kiavi

. Partner with Data leadership to drive ML, GenAI, and data products from concept to production .

Posted 11/5/2026full-timeUnited StatesLead💰 $210,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for ML and GenAI products, with a strong focus on developing business cases, managing cross-team initiatives, and driving data-driven decision-making. Proficient in SQL, cloud data warehouses, and low-code tools, with a proven ability to deliver measurable outcomes and influence stakeholders across decentralized teams.

Highest-signal resume keywords

Product Management ExperienceBusiness Case DevelopmentSQL ProficiencyCross-Team Initiative ManagementML and GenAI Product Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLMachine LearningGenerative AIData AnalysisPrototypingModel EvaluationForecastingRisk AssessmentBudget ManagementData Product Development

Soft Skills

Influential LeadershipClear CommunicationMentoringProblem SolvingCollaboration

Tools & Technologies

Cloud Data WarehousesLow-Code ToolsAPIsEvent-Driven SystemsRetoolZapierAI Coding Tools

Industry Keywords

Data ScienceFinanceBusiness ImpactModel GovernanceHuman-in-the-Loop QAOperationalizationOKRsVendor ManagementCross-Functional TeamsDecentralized Teams

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Partner with Data leadership to drive ML, GenAI, and data products from concept to production
Operationalize the Data XFN roadmap and track quarterly OKRs
Facilitate data leadership decision forums and prepare data for key decisions
Identify new data and AI opportunities and develop ROI, risk, and go/no-go recommendations
Develop program milestones, track progress, manage dependencies, mitigate risks, and lead cross-team communications
Manage priorities across multiple data science and development teams
Write Finance-approved business cases with conservative and aggressive forecasts
Measure cost, quality, hours saved, model accuracy, and other business outcomes
Convert efficiency gains into approved capacity and budget changes with FP&A and Operations
Identify and deliver vendor and manual-work cost savings
Guide ML and GenAI products through discovery, proof of concept, shadow mode, pilot, and production
Establish phased QA, human evaluation, and feedback loops
Guide launches through model governance, legal and compliance review, and user training
Analyze underperforming models and recommend improvement, pivot, or stop decisions
Drive cross-team execution by managing dependencies, milestones, blockers, and production delivery
Align Engineering, Operations, Design, and Data on definitions, prototypes, and written specifications
Secure unplanned engineering capacity by demonstrating opportunity size
Partner with operations, underwriting, sales, servicing, legal, and finance teams
Identify and resolve communication gaps and execution obstacles
Find, evaluate, procure, and manage third-party datasets and vendor relationships
Build prototypes with low-code and AI tools; write SQL and answer questions independently
Advise engineers on APIs, queues, data pipelines, and architecture decisions
Use AI coding tools to ship small changes and promote AI-first practices
Communicate Data team work through newsletters, launch notes, and product reviews
Provide updates on timelines, outcomes, projections, and at-risk OKRs
Mentor PMs on business cases, experimentation, and GenAI
Deliver measurable automation, cost, time, budget, production, vendor-spend, and funded-opportunity outcomes within 6–12 months

Requirements

What you’ll need

6+ years of product management experience, including complex technical or data products built with data scientists and engineers
Builder’s mindset with ability to create working prototypes and proofs of concept
Record of taking ML or GenAI products from 0 to 1 into production and proving business impact in dollars or hours
Experience managing cross-team initiatives, sustainable processes, releases, and priorities
Strong business case skills including sizing, forecasting, ROI, and obtaining Finance and executive sign-off
Ability to lead through influence across a large, decentralized group of teams
Hands-on technical fluency with SQL, cloud data warehouses, APIs, event-driven systems, and low-code tools such as Retool and Zapier
Daily practical use of AI tools for writing, analysis, prototyping, and code
Experience with model evaluation, human-in-the-loop QA, and production monitoring
Clear executive and technical writing and speaking
Bachelor's degree in Computer Science, Engineering, Data Science, Finance, or a related field
Located in Pittsburgh or San Francisco with ability to come into the office to collaborate with other team members

Benefits

Comp & perks

Medical, Dental, and Vision Insurance: free employee-only coverage; heavily discounted dependent premiums
Health Savings Account with annual employer contributions of $1,000 for individual coverage and $2,000 for dependents
Short-term and long-term disability insurance
Group life and AD&D insurance with coverage at 1x annual salary
Remote work policy
One-time remote office setup reimbursement up to $500
Monthly $85 stipend for internet and phone expenses
Commuter benefits contributions for in-office workers
Flexible Time Off with no strict limits, subject to manager approval
Up to 8 weeks of paid medical or caregiver leave
12 weeks of paid maternity/paternity leave
Short-term disability leave for birthing mothers
401(k) plan with Fidelity
100% company match on 401(k) contributions up to 3% of compensation or $8,000, whichever is less
Immediate vesting of employer contributions