Top Tech Jobs & Startup Jobs in Boston, MA

Build and scale production-quality AI/ML systems for scientific and clinical workflows. Responsibilities include developing generative AI, agentic, predictive, foundation model, RAG, and fine-tuned systems; engineering data and ETL platforms; deploying cloud infrastructure and CI/CD; creating evaluation harnesses; debugging prototypes; assessing build-versus-buy options; establishing safeguards and SOPs; and collaborating with biologists, immunologists, computational scientists, and clinicians.

Own Klaviyo’s product-led growth strategy across signup, onboarding, activation, conversion, retention, expansion, pricing, packaging, billing, and monetization. Define the product roadmap, optimize self-service customer journeys, run experiments, analyze behavioral data, and improve growth metrics. Partner with engineering, design, analytics, marketing, finance, and go-to-market teams to deliver intuitive customer experiences and measurable business impact.

Own and scale revenue operations infrastructure across marketing, sales, advisor engagement, onboarding, and reporting. Responsibilities include administering HubSpot, managing CRM workflows and data integrity, governing pipelines, building executive dashboards, supporting campaign and sales operations, tracking advisor lifecycles, and identifying process improvements. The role translates funnel and operational data into actionable insights that improve scalability, accountability, and growth execution.

Own North American paid search across Google Ads and Microsoft Advertising, managing bids, budgets, keywords, testing, conversion tracking, attribution, and performance reporting. Partner with SEO on answer engine optimization and use AI-driven search insights to improve demand generation. Collaborate with field marketing, SDR, creative, brand, sales, and platform partners to generate high-quality B2B leads and pipeline.

Develop and maintain web-based applications and back-office systems within the VestmarkONE financial services suite. Responsibilities include building scalable features, supporting performance requirements, collaborating on a distributed Agile Scrum team, and contributing to portfolio trading, proposal generation, and investor portal applications.

Lead Solutions Engineer responsible for supporting enterprise sales through customer discovery, solution design, technical architecture, product demonstrations, proofs of concept, and RFI/RFP responses. Partners with Sales, Product, Engineering, Marketing, and Customer Success to address customer requirements and provide product feedback. The role requires strong technical communication, consultative selling, AI product fluency, and up to 30–40% domestic travel.

Coordinates group air travel programs from intake and setup through post-event follow-up. Serves as a liaison among clients, travel advisors, and internal teams; manages timelines, documentation, bookings, traveler activity, arrivals, departures, reports, quality control, and stakeholder updates. Requires three or more years of travel-industry experience, GDS or self-booking tool proficiency, Microsoft Office skills, strong communication, and multitasking abilities.

Owns complex technical escalations from Product Support through resolution. Investigates bugs, integration failures, authentication issues, and data problems using logs, monitoring, SQL, APIs, and backend tools. Reproduces issues, performs root-cause analysis, manages incident communications, partners with Engineering, verifies fixes, and creates tooling, dashboards, documentation, runbooks, and monitoring improvements to reduce recurring escalations.

Performs system verification, validation, integration, and root-cause analysis for autonomous vehicle and mobile robot platforms. The role creates Python automation for log processing and MQTT integration, manages test cases and evidence, configures fleet management and robot missions, builds test environments and maps, monitors hardware and software faults, and collaborates with engineering, development, and QA teams to resolve issues.

Leads customer discovery, requirements workshops, stakeholder interviews, process analysis, and solution design for M-Files implementations. Defines integrations, technical architectures, acceptance criteria, documentation, testing, deployment, migration, and training. Partners with project management, product, and R&D teams; identifies AI and automation opportunities using Claude; mentors consultants; supports presales and manages multiple customer engagements.