19 дней назад
Senior/Staff/Principal Product Manager (AI)
177 650 - 209 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior/Staff/Principal Product Manager (AI): Building product-led growth and self-service tooling for customer onboarding, data mapping, implementation, maintenance, and optimization with an accent on workflow automation, data transformation, and operational efficiency. Focus on designing scalable self-serve products, reducing engineering and operator overhead, and incorporating LLM/LMM technology with guardrails, evaluations, and feedback loops.
Location: Hybrid, with at least 3 days per week from an office hub in San Francisco or Toronto.
Salary: San Francisco $177,650–$209,000 USD plus equity; Toronto CA$157,250–CA$185,000 plus equity.
Company
is a vertical SaaS company using technology and AI to help personal injury law firms secure faster settlements, higher payouts, and better outcomes for victims.
What you will do
- Identify and prioritize inefficient customer-facing workflows across implementation, onboarding, maintenance, and optimization.
- Design and ship self-service tooling, starting with data mapping tools, to reduce manual engineering and operational work.
- Own product-led growth metrics, including firms implemented, time to implementation and onboarding, and operator hours per onboarding.
- Partner with Engineering, Design, and Operations to turn manual processes into scalable product lines.
- Own the full product cycle from discovery through PRDs, user stories, customer conversations, QA testing, enablement, and post-launch iteration.
- Incorporate LLM/LMM-powered technology with guardrails, evaluations, and feedback loops.
Requirements
- 4+ years of B2B product management experience.
- Hands-on ownership of customer-facing products automating operational workflows involving heavy data transformation, ETL, or data migration and mapping.
- Demonstrated success shipping products that drove measurable customer adoption and impact.
- Experience with PRDs, user stories, customer interviews, QA, and go-to-market enablement.
- Strong storytelling, written and verbal communication, systems thinking, and pattern-matching skills.
Nice to have
- Background in data engineering, data analysis, data science, or data product management.
- Experience with data warehousing, ETL, or orchestration tools such as Databricks, Snowflake, BigQuery, Redshift, or Airflow.
- Familiarity with Claude, Claude Code, Claude Design, Figma, Jira, or SQL.
Culture & Benefits
- Medical, dental, and vision insurance for employees and families.
- Additional life, accident, and critical illness insurance options.
- Flexible paid time off, sick leave, disability coverage, and paid parental leave.
- US observed holidays or Canadian statutory holidays by province.
- Home office stipend, local in-person meetups, and office hubs in San Francisco and Toronto.
- 401(k) for US-based employees and RRSP for Canada-based employees.
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