About Us

Cyvl is a Boston-based tech startup revolutionizing how governments map and manage transportation infrastructure. Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, retrofitted to our customers' vehicles. This data is processed through our AI-powered cloud pipelines to generate actionable geospatial insights that save cities time, money, and resources.

At Cyvl, our mission is to empower governments to build and maintain public infrastructure they're proud of by accelerating decision-making through our sensors and Infrastructure Intelligence Platform. This role owns the knowledge architecture that connects everything Cyvl knows about infrastructure, turning sensor outputs, documents, public records, and regulatory standards into a unified graph that AI agents and analysts can query to answer the hardest questions cities face.

We're a fast-moving, high-growth team that believes in solving real-world problems with authenticity, simplicity, and boldness. Every member of our team is empowered to take ownership, deliver results, and leave a lasting impact on the communities we serve.

About You

You've spent your career turning messy, heterogeneous data into structured, connected knowledge. You've designed ontologies or knowledge graphs for complex real-world domains, built the pipelines that populate them, and thought deeply about entity resolution, provenance, and schema evolution. You understand that the way data is organized determines what questions can be answered, and you've designed data architectures specifically to support agentic and programmatic access. You want to build a knowledge architecture for a domain nobody has modeled at this depth before.

Key Responsibilities

• Define the entity types, relationships, and schemas that organize Cyvl's infrastructure knowledge across sensor data, documents, public records, and regulatory standards.

• Build the association layer that connects ML-derived detections and measurements to work orders, compliance rules, and contextual data sources.

• Design and implement entity resolution pipelines for matching records across heterogeneous sources to physical assets.

• Own provenance and confidence tracking: every fact in the graph carries its source, timestamp, and reliability.

• Architect the knowledge layer so that AI agents can traverse, query, and reason over infrastructure data without custom computation per question.

Qualifications

Required

• 5+ years building knowledge graphs, ontologies, or structured entity-relationship systems for complex real-world domains.

• Production experience designing and populating a knowledge graph from multiple heterogeneous data sources, not just a single clean database.

• Hands-on experience with entity resolution or record linkage at scale: probabilistic matching, geocoding, deduplication, or cross-source association.

• Experience designing data architectures optimized for agentic or programmatic access (LLM tool use, API-driven query, or similar patterns where AI systems consume structured data autonomously).

• Strong data modeling skills with opinions on when to use relational vs. graph vs. document stores, backed by production experience.

• Experience with geospatial data: PostGIS, spatial indexing, coordinate systems, or equivalent.

• Production engineering skills: you write code that ships, build data pipelines, and work alongside software engineers.

Nice to Have

• Experience at Palantir (Forward Deployed Engineer, Ontology Engineer, or similar roles), HD mapping companies (HERE, TomTom, DeepMap), or geospatial intelligence organizations.

• Graph databases in production (Neo4j, Apache Jena, RDF/OWL, or property graph systems).

• Familiarity with infrastructure, civil engineering, or asset management domains.

• Experience with embedding-based retrieval alongside structured graph queries (pgvector or similar).

• Background in schema evolution and ontology versioning as domains grow.

• Experience hiring and mentoring engineers.

What We Offer

• Competitive salary and equity package ($250K-$350K total comp, equity-heavy for a founding role)

• Comprehensive health, dental, and vision coverage

• 401(k) with immediate vesting

• Generous PTO, paid parental leave, and flexible work options

• Annual professional development stipend

• Team events, referral bonuses, and a collaborative, growth-focused culture

About Cyvl

At Cyvl, you'll join a driven and supportive team that's all out in building technology with real impact. We care deeply about our work, our customers, and each other. Collaboration and trust are at the core of how we operate.

Our values guide how we operate and shape a team that is genuinely RAARE:

Real - authentic, transparent, focused on solving real problems with simple, effective solutions.

All Out - bold, driven, and committed to delivering results that matter.

Accelerating - always learning, growing, and moving with intention.

Reliable - we follow through and deliver at a consistently high bar.

Empowering - we lift each other up and help governments build infrastructure they can be proud of.

Learn How We Think

Learn about our startup journey

Learn what we are doing

Learn about our customers

Together, we stay curious, learn quickly, and keep raising the bar. If you want to grow, make an impact that truly matters, and be part of a team that's shaping the future of public infrastructure, you'll feel right at home at Cyvl.

At Cyvl, we welcome and celebrate diversity in all its forms. We do not discriminate based on race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic. Your unique perspective is valued here.