Senior Technical Product Manager

Bitsight is a cyber risk management leader transforming how companies manage exposure performance and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments build greater trust within their ecosystem and reduce their chances of financial loss.
Built on over a decade of technological innovation its integrated solutions deliver value across enterprise security performance digital supply chains cyber insurance and data analysis.

• We invented the cyber ratings industry in 2011
• Over 3000 customers trust Bitsight
• Over 750 teammates are dispersed throughout Boston Raleigh New York Lisbon Singapore and remote

The Data Engine team powers the core intelligence that drives Bitsights cyber risk solutions. As the paradigm of enterprise data management shifts from Data for Humans to Data for Agents we are looking for a Technical Product Manager to sit at the critical intersection of big data infrastructure and agentic tooling.

In this role you will be tasked with solving the data mechanics problem architecting the evolution of our massive data repositories into agent-ready intelligence layers. You will ensure that our internet-scale data provides the rich context semantic precision and real-time accessibility required for advanced AI agents to perform complex workflows autonomously.

The ideal candidate is a product leader who thrives navigating extreme ambiguity and possesses a scale mindset. You can translate probabilistic AI outcomes into concrete business value and are equally comfortable debating data schemas embeddings and architecture tradeoffs with engineers as you are shaping commercial strategy.

What Youll Do

As a Senior Technical Product Manager for the Data Platform you will have the following responsibilities:

• Define and Execute Roadamp: Own the product roadmap for transitioning legacy data architectures into an agent-native intelligence layer. Lead the normalization of disparate data sources into standardized data models optimized for LLM querying.

• Drive Protocol Standardization: Champion the adoption of standardized communication protocols such as the Model Context Protocol (MCP) to seamlessly bridge the gap between AI models and enterprise data sources.

• Establish Evaluation Flywheels: Define and obsess over metrics that reflect the probabilistic nature of AI. Track system performance (e.g. tail latency throughput) intelligence quality (e.g. Precision Recall hallucination rates) and business impact.

• Build the Trust Posture: Implement robust data governance role-based access controls (RBAC) and observability to ensure autonomous agents operate securely and transparently without compromising enterprise trust.

• Partner Cross-Functionally: Collaborate closely with engineering data science and UX teams in an agile environment acting as a credible technical partner to dive into the details of model training validation and shipment.

What Youll Bring

• 4 years of Technical Product Management experience with a proven track record of taking zero-to-one products from inception to launch in fast-moving competitive spaces.

• Big Data & Cloud Native Infrastructure: Professional experience in big data environments distributed systems and cloud-native databases.

• AI Fluency: Deep hands-on understanding of Large Language Models (LLMs) prompt engineering vector embeddings and multimodal processing. You use AI daily to accelerate your own work.

• Data Modeling & Management: Expertise in data governance data catalogs and access management. Strong Python and SQL skills to prototype prompts and analyze product usage data.

• Protocol & API Design: Experience delivering developer-facing products such as SDKs and APIs with knowledge of container management (Docker) and orchestration platforms (Kubernetes).

• Customer Empathy & Influence: Proven ability to uncover the jobs to be done by engaging directly with customers across roles: data leaders scientists and practitioners while aligning executive stakeholders on a multi-year vision.

• Domain Expertise: Experience in risk management cybersecurity or highly regulated data environments is strongly preferred.

Belonging & Inclusion. Bitsight is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity race nationality religion sexual orientation status as a protected veteran or status as an individual with a disability.

Culture. We put our people first. Bitsight offers best in class benefits. We devote the same energy to nurturing our companys inclusive culture as we apply to serving our customers needs. Working at Bitsight will give you the opportunity to fulfill your professional goals and expand your skills.

Open-minded. If you got to this point we hope youre feeling excited about the job description you just read. Even if you dont feel that you meet every single requirement we still encourage you to apply. Were eager to meet people that believe in Bitsights mission and can contribute to our team in a variety of ways.

Bitsight also provides reasonable accommodations to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation or need assistance with completing the application process please email . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Additional Information for United States of America Applicants:

Bitsight is committed to compliance with all fair employment practices regarding citizenship and immigration status.

Bitsight will not discharge discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about discussed or disclosed the compensation of the employee or applicant or another employee or applicant.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Qualified applicants with criminal histories will be considered for employment consistent with applicable law.

This position may be considered a promotional opportunity pursuant to the Colorado Equal Pay for Equal Work Act.