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A strategic and execution-focused Product Operations Manager serves as a force multiplier for our product development organization. This role partners closely with product management, product design, engineering, and product marketing, while collaborating extensively with cross-functional stakeholders including enablement and go-to-market teams. You'll be responsible for building robust customer insights programs, streamlining product development processes, and ensuring seamless product launches.

The ideal candidate is a proactive problem-solver with strong B2B SaaS experience and a passion for operationalizing systems that enable product development teams to build and deliver exceptional products efficiently and at scale while maintaining quality.

This role also plays a critical part in shaping how Branch leverages AI and automation to multiply the impact of the Product Org. The Sr. POM will both keep current systems on track and proactively identify opportunities to apply AI/automation for quick wins, pilot new approaches, and build the business case for scaling.

• Drive Voice of Customer (VOC) Programs: Design and execute systematic approaches to gather, analyze, and synthesize customer feedback across multiple channels including surveys, interviews, support data, and app reviews.

• Product Release & Launch Support: Partner with Product Managers and cross-functional teams to ensure seamless product launches, including business readiness, documentation, product enablement, and stakeholder communication.

• Build Scalable Systems: Create templates, processes, and frameworks that enable consistent execution across product development lifecycle, from discovery through launch.

• Product Feedback Loops: Establish and maintain systematic processes for gathering, analyzing, and incorporating product feedback into roadmap decisions and product improvements.

• Product Operating System & Roadmap Management: Support roadmap planning processes and create systems for tracking delivery against commitments and communicating progress to stakeholders. Optimize the product organization's operating cadence.

• Cross-Functional Collaboration: Partner closely with Product Marketing, Enablement and GTM teams on competitive analysis, market positioning, customer insights integration, and launch readiness.

• User Research: Partner with Product Managers and Product Designers to plan, execute, and analyze user research initiatives, serving as facilitator when an unbiased party is needed.

• Research Analysis: Transform qualitative and quantitative research data into clear, actionable insights that drive product strategy and roadmap decisions.

• Manage Development Partner Programs: Lead beta cohorts and early access programs for new product lines in close partnership with Product Management, driving product-market fit validation and establishing go-to-market best practices.

AI & Automation Responsibilities:

• Identify opportunities to integrate AI and automation into product workflows (e.g., AI agents to accelerate PRD writing, copilots for roadmap updates, NLP for VoC analysis).

• Design, pilot, and operationalize AI-driven agents and tools that multiply the efficiency of Product, Design, and Engineering teams.

• Build business cases for new AI tooling and workflows, including cost-benefit analysis and adoption strategies.

• Partner with product data analysts to embed AI-driven insights into dashboards, feedback loops, and decision-making processes.

• Drive adoption of AI tools and solutions within the product organization through training, enablement, and change management.

Required:

• 6-8+ years in Product Operations, product or program Management, or closely related roles that partner with engineering/product (B2B SaaS).

• Track record of building scalable processes and systems that improve team efficiency and outcomes.

• Experience working closely with Product Management, Product Design, and Marketing teams to drive alignment and execution.

• Excellent written and verbal communication skills with ability to tailor messaging to different audiences and present findings clearly.

• Comfortable with data analysis, survey tools, and user research platforms; experience with SQL is a plus.

• Proven ability to influence without authority and manage complex stakeholder relationships.

• Proven experience designing and executing processes and systems to support user research and insights.

• Operates as a strategic operator: independently drives execution while proactively identifying systemic gaps and bringing solutions. You manage up and out to keep stakeholders aligned.

• Experience operationalizing AI/automation within business workflows (e.g., designing, piloting, and scaling AI agents, copilots, or automated processes).

Preferred:

• Experience in fast-growing B2B SaaS companies, ideally in adtech/martech ecosystems.

• Background as a Product Manager or extensive collaboration with product teams.

• Experience in design operations or user experience research.

• Familiarity with research platforms (e.g., Great Question, UserTesting), survey tools, and analytics platforms (e.g. Amplitude, Heap).

• Experience managing customer advisory boards, beta programs, or early access initiatives, and interacting directly with customers and end users.

• Familiarity with generative AI applications, copilots, and workflow automation tools; ability to evaluate and implement them in business processes.

• Nice-to-have: comfort with Python or other scripting to prototype/support automation, and exposure to NLP/AI-powered analytics for VoC and product-usage insights.

This role will be based at our Austin, TX office and follows a Hybrid schedule that will be aligned with our Return to Office guidelines. This role does not qualify for visa sponsorship.

In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Austin, TX, is $148,000 - $189,000.Please note that this information is provided for those hired in Austin, TX only. Compensation for candidates outside of Austin, TX will be based on the candidate’s specific work location. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above.