Top Tech Jobs & Startup Jobs in Boston, MA

Design and productionize machine learning, deep learning, LLM, personalization, recommendation, search, and retrieval systems. Collaborate with product, engineering, and analytics teams to deploy AI solutions that improve customer experiences, business growth, and operational efficiency. The role requires driving projects from ideation through deployment and delivering measurable business impact in a fast-moving fintech environment.

Build and operate internal software, platform services, developer tooling, Kubernetes infrastructure, and reproducible Nix environments. Develop Go and Rust automation, improve CI/CD and reliability, support Linux systems, networking, identity, endpoints, and SaaS platforms, and resolve ambiguous technical problems independently. Partner across engineering, security, operations, and business teams while mentoring engineers and shaping technical direction.

Generates enterprise sales opportunities, manages strategic accounts, develops customer and partner relationships, executes value-based account plans, conducts outbound prospecting, meets quotas, manages Salesforce forecasting and activities, and collaborates with Legal, Solution Engineering, Finance, and Operations to close deals.

Develop and execute tests for a Manufacturing Execution System, focusing on batch calculations, production metrics, data transformations, integrations, and end-to-end manufacturing workflows. Validate results against requirements and source data, document defects, perform regression testing, maintain traceable test documentation, and report coverage and defect metrics while collaborating with manufacturing, business, development, and quality teams.

Owns and prioritizes the backlog and roadmap for AI-enabled digital applications and support platforms. Translates strategy into epics, user stories, and acceptance criteria; guides Agile teams through delivery; and collaborates with engineering, design, data, security, privacy, legal, and compliance stakeholders. Ensures AI features meet business, user, privacy, security, transparency, and responsible AI requirements while monitoring performance, managing risks, documenting decisions, and supporting adoption.

Owns the full customer lifecycle from discovery and technical workshops through demos, POCs, ROI modeling, integrations, implementation, go-live, and production handoff. Builds sandboxes, architecture diagrams, simulations, and reusable technical assets while partnering with Product, Engineering, and CSM. Requires strong customer-facing communication, scripting and API skills, enterprise architecture fluency, and comfort managing complex pilots and ambiguous processes.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Design and develop electromagnetic warfare and spectrum operations software, including data models, RF propagation integrations, C2 and sensor APIs, AI-assisted coding workflows, and deployments across cloud, on-premises, and edge environments. Demonstrate software to customers, translate feedback into requirements, document and test solutions, mentor developers, and support agile delivery. The role requires an active US Top Secret/SCI clearance and travel to customer sites.

Leads Veristat’s global digital marketing operations and go-to-market execution. Responsibilities include developing and measuring digital strategy, managing global websites and user experience, overseeing HubSpot and Salesforce operations, coordinating contractors, managing social media, tracking analytics, enforcing brand standards, and executing SEO, SEM, email, paid search, A/B testing, personalization, and integrated marketing campaigns.

Build and manage Tempo’s infrastructure stack, improve developer velocity and experience, maintain blockchain, validator, and explorer reliability, and support enterprise validator onboarding. The role involves production bare-metal and cloud environments, Kubernetes, infrastructure as code, observability, Linux, networking, security hardening, troubleshooting, and tooling development using Rust, Go, or Python.