Top Tech Jobs & Startup Jobs in Boston, MA

The Legal Engineer will design technology-enabled legal solutions, partner with legal teams, and utilize emerging technologies for efficient legal workflows and services.

The Project Manager will lead Workday Financials implementation projects, ensuring smooth delivery, stakeholder engagement, and compliance, while incorporating change management activities.

The Account Executive will drive adoption of the Aero Intelligence platform, selling innovative multi-physics simulation solutions to engineering leadership in various industries.

The HR Associate will manage full-cycle recruitment for scientific, business development, and operational roles while supporting team-building initiatives and maintaining HR databases.

The AVP, Strategic Initiatives will analyze data, lead cross-functional teams, and develop strategic recommendations to drive key initiatives and improve advisor experience at LPL Financial.

The Senior Professional Services Solutions Architect will drive sales and delivery of Snowflake services, acting as a trusted advisor while collaborating with customers to solve their data challenges.

The Senior Excess Claims Manager manages excess claims, performs coverage analysis, negotiates settlements, and interacts with underwriters and reinsurers.

The Excess Claims Manager handles excess claims, conducts coverage analysis, negotiates settlements, investigates damages, and interacts with underwriters and reinsurers.

The Excess Claims Manager handles complex excess claims, performs coverage analysis, negotiates settlements, and collaborates with underwriters and actuaries. Travel may be required.

As a Forward Deployed Engineer - Finance, you will architect financial systems, deploy AI-driven workflows, and drive strategic outcomes for consumer brands.

As a Research Engineer/Scientist, advance large-scale language model technologies focusing on pre-training, post-training, and Reinforcement Learning, while collaborating with product managers and engineers to implement impactful AI solutions.

The Research Engineer/Scientist will advance decision-making in critical industries using optimization and machine learning, collaborating with product managers and engineers.

The Data Engineer will develop and optimize data pipelines for LLMs, ensuring high-quality healthcare datasets while collaborating with data scientists on model requirements.

The Senior Machine Learning Engineer will develop, deploy, and optimize large language models on healthcare data, collaborate with teams, and ensure compliance.