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Today

Product Operations Specialist

Rightsline Inc El Segundo, CA

El Segundo, CA

Today

Full time Data Analytics Pendo Product Operations

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Job Description

Rightsline Inc is building product experiences across its platform, and the Product Operations Specialist will play a key role in making customer adoption measurable and repeatable. This onsite position in El Segundo, CA focuses on administering Pendo, strengthening governance and data integrity, and using in-app guidance paired with product analytics to improve time-to-value.

Working closely with PMs, Customer Success, and Marketing, you will ensure new features are instrumented before launch, turn engagement signals into roadmap inputs, and help the organization interpret usage with clarity. You will also contribute to information security and compliance practices while supporting Pendo across the team.

What you’ll do

Own the Pendo instance across the full Rightsline platform, including user permissions, metadata mapping, segments, subscriptions, and account hygiene.
Set and enforce tagging standards, feature and page naming conventions, and data integrity practices so reporting remains reliable across product areas.
Onboard new applications and product surfaces into Pendo as the portfolio expands.
Audit regularly against governance standards, identify drift, and remediate as needed.
Design and deploy in-app guides, walkthroughs, tooltips, and resource centers to reduce time-to-value and drive adoption.
Build onboarding flows for new users and for new feature releases in partnership with PMs and Customer Success.
Run experiments such as guide variants, polls, and targeting rules, then report on outcomes.
Analyze platform usage to locate friction points, buried features, adoption gaps, and churn-risk signals.
Build and maintain dashboards for PMs, Product Ops, and executive leadership, including Product Adoption Scores, retention trends, guide engagement, and cohort behavior.
Bring quantitative evidence into PM roadmap discussions as a data-based voice of the user.
Partner with PMs to ensure features are tagged and instrumented before they ship.
Partner with Customer Success and Marketing so in-app communication matches the broader customer lifecycle.
Serve as the internal first line of support for Pendo across the org through office hours, a Slack channel, documentation, and working sessions.
Collaborate with cross-functional teams.
Ensure compliance with ISO 27001, SOC 1, and SOC 2 frameworks.

What you bring

Bachelor’s degree in Business, Information Systems, Product Management, or a related field, or equivalent professional experience.
4+ years of hands-on Pendo administration experience in a B2B SaaS environment.
Pendo Admin Certification required, held at hire or completed within the first 90 days.
Strong analytical instincts, comfortable moving from a data question to segmentation, dashboards, and recommendations.
Working knowledge of HTML/CSS selectors for tagging, including debugging when a tag is not firing without needing an engineer.
A track record of shipping in-app guidance that improves adoption or reduces support load.
Comfort setting and enforcing governance standards across multiple teams.
Excellent written communication, translating dashboard insights into concise takeaways for PMs and executives.
Ability to manage multiple concurrent projects in a deadline-driven environment and prioritize accordingly.
Self-directed problem solving with limited supervision.
Proficiency with Google Workspace and Microsoft Office for documentation, reporting, and stakeholder communication.
Fluent English and ability to overlap with US working hours for real-time collaboration.

Technologies

Pendo
HTML/CSS selectors
Google Workspace
Microsoft Office

Benefits

Provident Fund, Gratuity, and all statutory benefits per applicable Indian labour laws
Comprehensive Group Medical Insurance for employees and eligible dependents
Group Personal Accident Insurance
In-office meal benefits, including sponsored breakfast, lunch, and evening snacks
Hybrid work model with clearly defined collaboration days
Flexible working hours, role-dependent
Structured and transparent leave policy
Career growth and advancement opportunities within a rapidly scaling global SaaS organization
Continuous learning, upskilling, and leadership development support
Quarterly employee engagement initiatives, plus celebrations and recognition programs
Competitive compensation aligned to market standards with strong career growth opportunities

Security, compliance, and privacy

Adhere to ISMS policies and procedures
Protect confidential and customer data and report security incidents
Participate in compliance trainings and audits
Ensure proper handling of sensitive data in line with company policies and applicable laws
Follow role-based access control principles and safeguard credentials
Ensure authorized system usage

Hiring process

HR Screening
Technical / Functional Interview
Assessment (as applicable)
Leadership Round
Offer Rollout

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4mo ago

Head of AI-Native Product Operations

Lansweeper Austin, TX

Austin, TX

4mo ago Closed

Full time Marketing Ai Agents Ai Workflows

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

Lansweeper seeks a senior leader to design and operate AI native product workflows, establishing a shared AI and data foundation that connects product, engineering, and go-to-market teams. This greenfield, hands-on role emphasizes building, integrating, and scaling AI driven processes across the product organization.

Responsibilities

Audit and map the product organization's toolchain, workflows, and friction points across product management, product marketing, UX, enablement, and the partner ecosystem. Prioritize high impact opportunities for AI native automation.
Design and implement AI powered workflows leveraging orchestration tools such as n8n or Make, along with API integrations and AI agents to automate coordination, reporting, and documentation; manage the full lifecycle from prototype to production.
Partner with Engineering to streamline the product engineering interface, including planning handoffs, sprint coordination, release management, QA feedback loops, and cross functional reporting. This area represents the strongest current adoption with the greatest near-term demand.
Create AI native workflows linking Product and the GTM organization to ensure smooth flow of product context, competitive intelligence, and launch information across the boundary.
Own and configure product owned tools such as Enterpret and maintain a centralized product knowledge layer that makes strategy, OKRs, architecture, personas, and competitive intelligence retrievable by AI agents and team members alike.
Connect the product toolchain into automated workflows via APIs and MCP, linking product planning, project management, analytics, design, and communication tools into a cohesive operating layer.
Develop and iterate on AI agents for product operations tasks, including intake triage, PRD generation, status reporting, stakeholder perspective simulation, competitive analysis, and meeting preparation.
Enable the product organization to adopt AI native workflows by designing onboarding experiences, running workshops, establishing guardrails and documentation, and building fluency across all product functions.
Measure and report on operational impact such as hours saved, cycle time, decision quality, and adoption rates, and build dashboards that make the value of AI native operations visible.
Collaborate with Lansweeper's Operations and IT teams to ensure product workflows and tooling sit on the shared company wide AI and data foundation, aligning on security, governance, and enterprise standards.
Monitor the evolving AI tooling landscape, evaluate new platforms and models, and keep Lansweeper's product operations infrastructure at the frontier.

Requirements

5+ years in product operations, technical program management, solutions architecture, or a similar role in B2B SaaS.
A demonstrable track record of building AI powered workflows or automation systems in a professional context, not just using AI tools but designing, connecting, and maintaining multi-step automated workflows.
Hands-on experience with AI agent building, orchestration platforms (n8n, Make, Zapier), API integrations, MCP, vector databases, or similar technical infrastructure.
Deep familiarity with the product organization toolchain such as Jira, Confluence, Pendo, Enterpret, or similar platforms.
Strong understanding of the B2B SaaS product development lifecycle across discovery, design, development, delivery, and go-to-market.
Experience collaborating across Engineering and GTM functions on process integration, tooling, and cross functional workflows.
A portfolio, GitHub repository, or other evidence of systems you have built. Demonstrated building ability is valued over certifications.
Excellent English communication skills (CEFR C1+). Ability to write documentation, present to leadership, and facilitate workshops with equal confidence.

Technologies

n8n
Make
Zapier
MCP (Model Context Protocol)
Enterpret
Jira
Confluence
Pendo
Claude Cowork
Atlassian Rovo
vector databases

Context & Impact

For 21 years, Lansweeper has moved quickly and reinvented itself as markets, products, and customers evolve. The current turning point is the AI era, with engineering adopting AI assisted code development and QA, while product teams routinely use tools like Claude Cowork and Atlassian Rovo. The missing link is a connective layer that unifies these efforts into scalable, repeatable workflows across the organization.

Challenge

Greenfield mandate with no predecessor, toolkit, or established playbook. The role defines the discipline as it is built.
Structural change rather than evangelization. AI is already embraced, but rapid, coordinated change across multiple functions is required to achieve higher economies of scale and prevent drift.
Two collaboration fronts requiring close partnership: Engineering, which has the most immediate need for process integration, and the interface between Product and GTM that demands sharper automation.
Orchestrating complex toolchains so that agent-driven workflows span product planning, engineering, analytics, design, and communication platforms into reliable end-to-end systems.
Defining success metrics in a field where formal benchmarks do not yet exist.

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Product Operations Specialist

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