Top Tech Jobs & Startup Jobs in Boston, MA

Own strategic growth, revenue, and profitability for major P&C insurance accounts. Build C-suite relationships, develop account plans, identify AI/data/cloud opportunities, lead commercial negotiations, and coordinate global delivery to drive client transformation and expansion. Travel up to 50%.

The AI Solutions Lead will expand Quantiphi's business in key insurance accounts by managing executive relationships, developing account strategies, leading sales initiatives, and ensuring client satisfaction.

The Sales Leader for Life Insurance is responsible for acquiring new customers, developing executive relationships, and driving sales of technology services to Life Insurance companies, focusing on AI and cloud solutions.

Lead per-SYSID assessments and design L2 sequence and data-flow diagrams. Define Kafka topic topology and microservice boundaries, plan Oracle AQ to Confluent Kafka migrations, assess Spring Boot migration paths, design AWS Step Functions for batch orchestration, and produce current vs. future-state architectures.

Architect and implement MLOps strategies, design ML pipelines, mentor teams, and ensure compliance on Google Cloud, focusing on AI/ML best practices.

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

As a Technical Program Manager, you will lead AI/ML initiatives, ensure project delivery, manage stakeholders, and align technical strategies with business objectives.

The Sales Leader will drive AI and data services for AWS clients in the CPG sector, maintaining executive relationships and leading sales initiatives.

Manage and expand insurance accounts, driving growth through AI and cloud solutions, while collaborating with internal teams and maintaining client relationships.

Lead architecture for a next-generation data layer for Agentic AI: design schemas and knowledge-graph ontologies, architect hybrid Snowflake/Kinetica/NoSQL environments, define ETL/ELT and CDC/streaming patterns, ensure cluster availability and performance, and act as the technical customer-facing lead aligning roadmaps and observability for real-time AI agents.