Senior Product Manager, Data Integrations

As a Senior Product Manager, Data Integrations at Outreach, your primary responsibilities will include defining the product vision, maintaining the data integrations roadmap, and collaborating across teams such as engineering and marketing. You'll focus on building features that enhance our data integration platform, conduct market research, and establish KPIs to monitor the effectiveness of the platform. Ultimately, your goal will be to enhance data connectivity for our customers and support their journey from data to insights.

To excel as a Senior Product Manager, Data Integrations at Outreach, you will need a minimum of 5 years of experience in product management, particularly in building B2B/SaaS applications. A strong technical aptitude is essential, as is familiarity with data cloud ecosystems. Candidates should exhibit high emotional intelligence, analytical skills, and the ability to work collaboratively across diverse teams. A Bachelor’s degree is required, while an MBA or related graduate degree is preferred.

Success in the Senior Product Manager, Data Integrations role at Outreach is defined by your ability to craft and execute a compelling product strategy that aligns with company goals. Key indicators include the successful launch of data integrations, exceeded customer satisfaction scores, effective KPIs, and the development of strong partnerships with cloud providers. You'll also be expected to drive innovative solutions while efficiently prioritizing features based on customer needs.

Outreach prefers candidates with a solid background in managing technical, data-driven products, especially those who have previously worked with enterprise-level solutions and data clouds. Experience with Generative AI or similar technologies is a plus. Additionally, candidates should have demonstrated success in building business cases and problem-solving in complex environments, showcasing their analytical abilities and knowledge of customer needs.

The Senior Product Manager, Data Integrations role at Outreach is unique because it allows you to lead projects that directly shape the data connectivity landscape for our Sales execution platform. You'll work at the intersection of technology and customer experience, implementing cutting-edge AI integrations. Furthermore, you'll play a pivotal role in defining both product strategy and execution, ensuring that the platform adapts to the evolving needs of our diverse customer base.

When answering this question, share specific examples of projects where you successfully managed data integration products. Highlight the challenges you faced, how you approached them, and the outcomes. Discuss any technologies or platforms you used, and emphasize your role in collaborating with different teams to ensure integration success.

Use this opportunity to describe your method for prioritizing features based on customer needs, business goals, and technical feasibility. Mention any prioritization frameworks you rely on, such as MoSCoW or RU-Now, and how data and customer feedback play a role in your decision-making process.

Talk about the various strategies you use for effective market research, such as competitor analysis, surveys, interviews with customers, and analyzing industry trends. Focus on how this research informs your product decisions and aligns your strategy with market needs, and give examples of how you have applied this in past roles.

Illustrate your approach to cross-functional collaboration by sharing instances where you've engaged with other teams, such as marketing, engineering, and design. Discuss how you facilitate communication and what methods you implement to ensure alignment on product goals, including the importance of regular meetings and using collaborative tools.

Discuss key performance indicators (KPIs) that you value, such as user acquisition, retention rates, customer satisfaction scores, and revenue growth. Provide examples of how you've tracked and used these metrics to inform product strategy and drive improvements in your previous projects.

Share a specific anecdote outlining the challenge faced, the steps you took to analyze the situation, and the solutions implemented. Highlight the positive results that followed, demonstrating your problem-solving skills and your ability to drive improvements in product performance.

Emphasize your familiarity with AI technologies, especially in relation to data products. Discuss any projects where you've implemented AI features or integrations, and describe how these experiences enhanced your understanding of customer needs and contributed to successful product outcomes.

Talk about strategies you employ for collecting and analyzing customer feedback, such as surveys, interviews, or usage data. Explain how you translate feedback into actionable insights for your team and give examples of how customer input has directly influenced product decisions in your career.

This is a chance to showcase your strategic thinking. Describe how you envision the evolution of a data integration platform; consider aspects like scalability, user experience, AI functionalities, and integration capabilities. Ensure that your answer highlights not only the technical aspects but also the consumer perspective and market trends.

Share your methodology for determining pricing strategies, including market research, competitor analysis, and customer willingness to pay. Discuss different types of pricing models you consider and how you balance business objectives while ensuring value for customers.