Senior Technical Product Manager, Operations and Data

Senior Technical Product Manager, Operations and Data

Location: Remote, USA

About Syllo

Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end to end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms in managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise grade litigation AI. Backed by top tier VCs, we empower enterprise legal departments to move faster, mitigate risk, and push the boundaries of what technology can achieve.

About the role

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.

What you will do

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.

What you bring

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.

Experience and qualifications

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.

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

Bachelor's degree in a technical or quantitative field, or equivalent practical experience.

Total rewards and benefits At Syllo , we believe in taking care of our team so they can focus on building the future of legal tech.

Compensation: Competitive base salary + equity options. Range: $160k to $200k Benefits: Medical, dental, vision, and voluntary insurance options. Vacation, sick leave, and paid holidays. Access to benefit counselors and fitness class reimbursements.

Growth: Annual learning and development budget and real career growth in a fast-scaling organization.

Equal opportunity employer

We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide a fair and accessible hiring process. If you require accommodations during the application or interview stage, please let us know.

• United States - Remote Pay Range
• $160,000—$200,000 USD
• Originally posted on Himalayas