Okay, I've searched for Senior Technical Product Manager roles in the New York City Metropolitan Area within B2B SaaS or analytics industries, requiring 5+ years of experience and expertise in API development and SQL. I have found 152 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Senior Technical Product Manager role at Sensor Tower is fundamentally about bridging complex data science and engineering capabilities with the needs of business users and clients to deliver actionable insights into the mobile app and digital economy. This position demands a candidate who excels not only in technical understanding—such as API development, data product creation, and advanced analytics (including SQL proficiency)—but also in customer empathy and cross-functional collaboration. The candidate must be adept at gathering nuanced user requirements, often from diverse stakeholders with varying technical backgrounds, and translating these into clear, implementable product roadmaps. Given the emphasis on developing new metrics and improving data delivery, the person in this role is expected to navigate ambiguous problem spaces, balancing innovation with pragmatic delivery. Success looks like producing data products that are both rigorously accurate and intuitively usable, thereby driving adoption and providing Sensor Tower’s customers with deeper, market-shaping insights. The candidate will encounter challenges such as aligning multiple teams across data science, engineering, marketing, and customer success and will need to demonstrate strong project management and influential communication skills. Experience with BI tools and familiarity with the mobile app ecosystem’s evolving dynamics suggest this role also requires strategic foresight to anticipate and proactively shape product direction in a competitive SaaS environment.

Company Analysis:

Sensor Tower sits at the intersection of mobile intelligence, advertising technology, and data analytics, positioning itself as a leading data provider within a rapidly evolving digital economy sector. The company’s stature as a market leader with an award-winning platform underscores a culture that is data-driven, innovative, and highly customer-centric. Their mission to 'measure the world’s digital economy' signals a big-picture orientation that values both precision and impact, suggesting an environment that encourages smart risk-taking, continuous learning, and agility to respond to market shifts. The environment appears to be inclusive and flexible, with benefits and policies that support work-life balance and diversity, which can foster a collaborative and motivated team dynamic. For a Senior Technical Product Manager, this means working within a technically sophisticated but mission-driven culture where cross-team influence, proactive problem solving, and alignment to strategic goals are valued. Given its startup to mid-size SaaS nature with a focus on growing analytics capabilities, this role likely enjoys high visibility and the opportunity to shape both product and organizational direction. The company’s diverse product suite—from app market intelligence to digital advertising insights—requires someone versatile and curious, able to engage with multiple verticals and stakeholder groups, making this role a strategic linchpin supporting Sensor Tower’s continued leadership and growth.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to translate complex technical requirements into clear, actionable plans for a non-technical team. How did you ensure alignment and understanding?
• Behavioral: Describe an experience where you had to gather user feedback that was contradictory or unclear. How did you navigate that to define a successful product feature?
• Behavioral: Give an example of a challenging cross-functional collaboration. How did you handle conflicts or differing priorities between data science and engineering teams?
• Behavioral: How do you stay motivated and manage pressure when working on high-impact projects with tight deadlines and ambiguous requirements?
• Technical/Role-Specific: Walk me through your process for defining technical product requirements for a new API feature intended to improve data accessibility.
• Technical/Role-Specific: How have you previously used SQL or other analytics tools to inform product decisions? Can you provide a specific example where data analysis shifted your product strategy?
• Technical/Role-Specific: Given Sensor Tower's product focus, how would you approach designing new metrics that provide competitive insights into mobile app usage?
• Technical/Role-Specific: What experience do you have working alongside data science teams to develop or validate new data models or estimates?
• Situational: Imagine you receive conflicting feedback from the sales team (wanting quick delivery) and engineering (needing more development time) on a product feature. How do you handle this?
• Situational: Suppose after launching a new data delivery improvement, user adoption is low despite initial optimism. What steps would you take to investigate and address this?
• Situational: You're tasked with proposing a roadmap update six months in the future but the market is rapidly changing, and the data team raises concerns about feasibility. How do you balance these inputs?
• Company Fit/Motivation: Why does Sensor Tower’s mission to measure the digital economy inspire you, and how do you see yourself contributing to it?
• Company Fit/Motivation: How do your interests and background align with Sensor Tower’s focus on mobile app analytics and enterprise data products?
• Company Fit/Motivation: What aspects of working in a startup/mid-size SaaS environment appeal to you, especially at a technically driven company like Sensor Tower?
• Questions for Interviewer: Can you describe how product managers at Sensor Tower typically collaborate with data science and engineering teams on complex projects?
• Questions for Interviewer: What are the biggest challenges Sensor Tower anticipates in expanding its data offerings, and how will this role contribute to overcoming them?
• Questions for Interviewer: How does Sensor Tower support professional growth and continuous learning for product managers given the fast-paced nature of the digital analytics space?