Senior Manager, Product Operations

Rightsline Inc•El Segundo, CA

30d•$150,000 - $175,000•Remote

About The Position

Rightsline is rebuilding its product operating system around an AI-native Development Lifecycle (AI-DLC). We are hiring a Senior Manager, Product Operations to be the steward and driver of the AI-DLC end-to-end; the single person accountable to the CPO, the Executive Team, and our Board. You will design and evolve our Product Discovery playbook and our Product Launch playbook as first-class AI-DLC artifacts; own the annual, mid-year, and quarterly planning cycles that connect strategy to shipped outcomes; spearhead the advancement of our product tool stack (Pendo, Jira, Jira Product Discovery, Confluence, Launch Notes, Claude, and prototyping platforms such as Replit); and bring the rest of the company, especially GTM, along on how we build and what we ship. You will manage one Product Operations Manager in-seat who runs delivery-cadence coordination and tool administration at the pod and scrum-team level. You will build a function that Rightsline intends to invest further in as the portfolio scales.

Requirements

8+ years of relevant experience across product operations, program management, product management, and/or launch management inside B2B enterprise SaaS.
Proven track record of designing and implementing processes and playbooks that meaningfully improved cross-functional velocity in a fast-moving product org.
Proven track record of implementing AI workflows for a product team, with experience shipping AI-native workflows into a real product organization.
Fluent with modern agent tooling (Claude, MCP servers, prototyping tools like Replit).
Cross-functional credibility with senior leaders (CRO, VPs of Sales, Client Expansion, Marketing, CS).
Exceptional program management instincts, applied to systems rather than tickets.
Comfort with ambiguity and rapidly shifting priorities.
Excellent written and verbal communication skills.
Ability to influence senior stakeholders without direct authority.
Ability to translate operational health into an ELT-ready narrative.
Direct hands-on experience with Pendo, Jira, Jira Product Discovery, Confluence, Launch Notes, and Claude in a production Product Ops setting.
Experience standing up a Product Ops function from scratch or through a step-change in scale.
Comfortable being a peer at the product leadership table.
Ability to hold a firm process line with senior and lead product managers without eroding working relationships.

Responsibilities

Design and evolve the Product Discovery playbook, including inception meetings, transcript-driven artifact generation, prototype-first validation, and Jira Product Discovery for roadmapping.
Own the end-to-end product launch process, including templates, cross-team readiness gates, EAP/beta mechanics, GTM handoff, release notes, and post-launch adoption measurement.
Own the measurement of AI's impact on cycle time from inception to shipped, and from shipped to measured customer outcome.
Own the design and evolution of the annual planning cycle, mid-year re-plan, and quarterly OKR/roadmap rhythm.
Run the monthly product review to track the pulse of the function.
Own roadmap mechanics and Jira Product Discovery hygiene, including governance, data cleanliness, and infrastructure.
Set the strategy and forward roadmap for the product tool stack, including Pendo, Jira, Jira Product Discovery, Confluence, Launch Notes, Claude, and prototyping platforms.
Own new-tool evaluation and adoption, including AI-first tooling.
Partner directly with the CRO, VP AM, VP Client Expansion, Sales Enablement, and Marketing to design the operating cadence between Product and Commercial.
Build and operate Early Access Programs, including customer selection, feedback collection, and success measurement.
Choreograph launches across the commercial machine, including marketing messaging, sales briefing, support readiness, and CS positioning.
Directly manage and coach the Product Operations Manager, who is responsible for unification and optimization at the scrum-team/pod level.
Own the Product data foundation, including Pendo product usage, Gong call transcripts, support tickets, product documentation, and code, to enable AI skills.
Treat launch readiness as a product, building systems that accelerate velocity.
Treat process as a product with users, metrics, and continuous iteration.
Be AI-native, with opinions on how AI improves decisions without weakening accountability.
Be service-oriented and obsessed with making it easy for others to do great work, while also holding firm gates when a launch is not ready.
Create structure where none exists without over-standardizing while still learning.