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채용Harvey AI

Technical Program Manager, Quality and Reliability

Harvey AI

Technical Program Manager, Quality and Reliability

Harvey AI

San Francisco

·

On-site

·

Full-time

·

1mo ago

보상

$200,000 - $275,000

필수 스킬

Technical Program Management

Release Management

Quality Assurance

CI/CD

Incident Management

WHY HARVEY

At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.

At Harvey, the future of professional services is being written today — and we’re just getting started.

ROLE OVERVIEW:

We are looking for a Technical Program Manager, Quality and Reliability to champion cross-functional initiatives that enhance the quality, reliability, and operational excellence at Harvey. You will be the ultimate owner of Harvey’s product quality. You will collaborate closely with Engineering, Product, and Operation teams to identify and address critical gaps in test coverage, release safety, incident management, and system observability. You will discover reliability risks and partner with Platform teams to drive broad improvements, focusing on building repeatable, scalable reliability guardrails as Harvey navigates hyper-growth.

WHAT YOU'LL DO:

  • Own release management end-to-end, ensuring on-time, high-quality product releases through coordination across all teams in a fast-paced environment.

  • Introduce and enforce change safety standards, such as risk assessments, rollback procedures, feature flag, and bug bashes to reduce regressions and customer impact.

  • Lead horizontal reliability initiatives focused on improving test coverage, observability, and incident response readiness.

  • Define, measure, and report on reliability metrics (e.g. change failure rate, MTTR, SLI), and drive accountability for sustained improvement.

  • Identify systemic gaps in release processes, testing, monitoring, and incident response; convert findings into structured improvement plans with clear owners and timelines.

  • Drive rapid triage and resolution of customer-reported issues in partnership with Product and User Operations, ensuring timely followup and continuous improvements.

  • Own and improve the incident management lifecycle: Facilitate rigorous post-incident reviews, ensuring root causes are identified and corrective and preventative actions are tracked to completion..

  • Oversee vendor reliability and SLA compliance, including performance monitoring, incident escalation, and periodic business reviews.

WHAT YOU HAVE:

  • 5+ years of experience in technical program management or release management, ideally within SaaS or fast-moving tech companies

  • Prior Experience working as Software QA or Test Engineer, preferably with SaaS products.

  • Strong understanding of engineering workflows, including CI/CD, release cycles, and infrastructure planning.

  • Experience partnering with engineering and product leadership to achieve cross-team quality and reliability objectives.

  • Excellent communication skills—you can distill complexity into clarity for both technical and non-technical audiences.

  • A track record of building systems and processes that scale with growth.

  • Comfort in ambiguity and eagerness to build structure where there is none.

  • Bachelor’s degree in Computer Science, Engineering, or related technical field.

  • Bonus Points

  • Familiarity with incident management tooling (PagerDuty, Incident.io http://Incident.io), monitoring stacks (Datadog, Prometheus, Grafana), and test automation frameworks (Playwright, Cypress, Selenium)

COMPENSATION:

$200,00 - $275,000 USD

PLEASE FIND OUR CA APPLICANT PRIVACY NOTICE HERE https://www.harvey.ai/legal/california-applicant-privacy-notice.

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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총 지원 클릭 수

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모의 지원자 수

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Harvey AI 소개

Harvey AI

Harvey AI

Series B

Harvey AI develops artificial intelligence software for legal professionals, providing AI-powered tools for legal research, document analysis, and workflow automation.

51-200

직원 수

Boca Raton

본사 위치

$1.5B

기업 가치

리뷰

4.0

10개 리뷰

워라밸

3.8

보상

2.5

문화

4.2

커리어

3.2

경영진

4.3

75%

친구에게 추천

장점

Supportive and collaborative team environment

Flexible work arrangements and remote options

Approachable and understanding management

단점

Low compensation and entry-level pay

Limited career advancement opportunities

High workload and occasional long hours

연봉 정보

1개 데이터

Senior/L5

Senior/L5 · Software Engineer

1개 리포트

$243,846

총 연봉

기본급

$187,574

주식

-

보너스

-

$243,846

$243,846

면접 경험

1개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

100%

경험

긍정 100%

보통 0%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit