Technical Product Manager

Klarity•San Francisco, CA

8d•$179,000 - $230,000•Onsite

About The Position

We're looking for a Technical Product Manager who is early in their career but already has sharp product instincts and the technical foundations to bring ideas to life. You'll work alongside senior engineers and product leaders, owning meaningful pieces of features from customer insight through production, and growing fast in an environment that rewards ownership. This role requires a PM with strong technical foundations who has shipped products with real complexity, can read architecture diagrams, ask smart questions in engineering discussions, and write specs that don't require translation. The ideal candidate is customer-obsessed and discovery-driven, relentless about getting in front of customers, and can turn qualitative signal into structured insight and challenge internal assumptions with real evidence. An AI-native product thinker who has built or owned features powered by LLMs, ML pipelines, or AI-driven automation, and understands the product tradeoffs of probabilistic systems, is highly desired. The role is outcome-oriented, requiring the ability to define success metrics before building, and to instrument, analyze, and iterate. Excellent communication skills are essential for aligning engineering, design, and leadership on a shared direction, and for writing specs that people actually read and act on. The candidate will operate with strong product and UX taste, identifying product experience issues and making obvious design decisions. They will operate at the bleeding edge of AI within the product function, prototyping, gathering customer feedback, running analytics, and automating workflows. They will design AI features accounting for model failure modes, non-determinism, and evaluation needs, shipping meaningful work weekly and using AI tools to move at an impossible pace manually. The role demands end-to-end ownership of delivery, using AI coding tools to build working prototypes independently and validate product directions with real artifacts, without waiting for engineering capacity. Communication skills are paramount, both written and verbal, with internal stakeholders and customers. The candidate will create high-quality written artifacts like specs, triage summaries, and customer-facing documents, compressing ambiguous input into clear, prioritized direction and translating technical constraints into business language and vice versa without losing fidelity.

Requirements

2–4 years in product management or product engineering
B2B SaaS or AI platform experience strongly preferred
Strong technical foundations — shipped products with real complexity
Ability to read architecture diagrams, ask smart questions in eng discussions, and write specs that don't require translation
Customer-obsessed and discovery-driven
AI-native product thinker — built or owned features powered by LLMs, ML pipelines, or AI-driven automation
Understands the product tradeoffs of probabilistic systems
Outcome-oriented — defines success metrics before building, instruments, analyzes, and iterates
Clear communicator — can align engineering, design, and leadership on a shared direction
Writes specs that people actually read and act on
Product & UX Taste — identifies what is wrong with a product experience without being told
Makes design decisions that users describe as obvious in hindsight
Consistently distinguishes between what users say and what they need
AI-Native Velocity — operates at the bleeding edge of AI within the product function — prototyping, gathering customer feedback, running analytics, and automating own workflows
Designs AI features that account for model failure modes, non-determinism, and evaluation needs
Ships meaningful work weekly and uses AI tools to move at a pace that would be impossible manually
Ships to Outcomes — owns delivery end-to-end
Uses AI coding tools (Cursor, Claude Code) to build working prototypes independently and validate product directions with real artifacts
Communicates clearly in both writing and speech — with internal stakeholders and directly with customers
Creates high-quality written artifacts: specs, triage summaries, customer-facing documents
Compresses ambiguous customer and stakeholder input into clear, prioritized direction
Translates technical constraints into business language and vice versa without losing fidelity

Responsibilities

Speak directly with many customers and customer executives to understand their needs
Prototype and rapidly iterate on your product ideas
Own meaningful pieces of product features from discovery through shipping, with real accountability for outcomes
Partner with engineering and design to write clear specs and make fast, principled decisions
Drive AI-native product development — own features built on LLMs, set user expectations, design feedback loops
Define success metrics, build dashboards, and close the loop on everything shipped