Senior Technical Product Manager, Operations and Data

TLA Tech•New York, NY

13h•$160,000 - $200,000•Remote

About The Position

Help build and execute the operational technology that powers Syllo’s rapid growth. In this role, you’ll drive engineering execution inside Company Operations, connecting business needs with technical delivery. You will partner with business leads and our Business Systems and Automation Manager to evaluate complex operational challenges, translate validated needs into clear engineering specs, and deploy operational engineering capacity where it yields the highest leverage. You will also work closely with our Senior Data Engineer to ensure our data warehouse schema and downstream financial/GTM reporting systems receive clean, accurate, and structured inputs. When custom software builds are required, you own the sprint prioritization, capacity allocation, and quality checks. We are looking for a product manager who brings strong technical acumen, clear prioritization skills, and a flexible, hands-on mindset. As our team expands, this role offers space to grow and evolve into broader leadership opportunities.

Requirements

Technical product judgment: Comfortable evaluating schemas, sizing work, and assessing engineering trade-offs in direct partnership with developers.
Thoughtful prioritization: Skilled at managing competing internal requests, bringing clarity, logic, and empathy to trade-off decisions.
Clear specification writing: Ability to translate complex team workflows into intuitive, engineer-friendly specifications.
Cross-functional partnership: A collaborative approach to working with Finance, Revenue Operations, and Customer Success, using data and clear rationale to build consensus.
Adaptable mindset: Excitement for dynamic, fast-growing environments where roadmaps naturally evolve as business needs shift.
5+ years in technical product management, data product management, or analytics engineering within a fast-scaling B2B SaaS company, enterprise software organization, or comparable environment.
Experience collaborating with Data Engineering teams on warehouse structures (BigQuery, Snowflake, etc.), with practical SQL comfort for data validation and QA.
Experience balancing competing team demands against engineering capacity, with a track record of transparent prioritization.
Bachelor's degree in a technical or quantitative field, or equivalent practical experience.

Nice To Haves

Familiarity with go-to-market or financial system integrations (e.g., CRM, billing platforms, ERPs) is a strong plus.

Responsibilities

Execute the technical roadmap: Define, sequence, and manage the engineering build queue for Company Operations, aligning priorities and project milestones across teams.
Lead intake and specifications: Convert cross-functional operational requirements into clear, intuitive specifications that engineers can execute on cleanly.
Guide engineering capacity: Allocate engineering capacity across Internal Tools and Business Systems projects each cycle, balancing speed, maintainability, and organizational impact.
Support data warehouse evolution: Partner closely with our Senior Data Engineer—who designs and builds the schema—by gathering requirements, establishing business logic standards, and ensuring data structures cleanly support downstream GTM and financial systems.
Flex across hands-on technical work: Roll up your sleeves to keep projects moving smoothly, stepping into versatile hands-on tasks ranging from user acceptance QA and data validation to light prototyping with AI coding tools.
Partner on build versus buy execution: Work with the Business Systems and Automation Manager to provide accurate engineering estimates and capacity analysis when evaluating custom builds versus vendor solutions.