Top Tech Jobs & Startup Jobs in Boston, MA

Conducts quality assurance evaluations and audits of customer interactions across calls, email, and chat. Analyzes CSAT, DSAT, and quality trends, performs root cause investigations, coaches frontline advisors, and supports process improvements. The role prepares reports, leads case reviews and calibration sessions, ensures compliance with client standards, and presents actionable insights to internal and external stakeholders. Requires Polish and English proficiency and is onsite in Katowice.

Designs end-to-end Forward Deployed Engineering curriculum projects for experienced production engineers. Responsibilities include defining technical infrastructure, databases, learning goals, submission guidelines, and assessment rubrics; evaluating current tools and deployment approaches; collaborating with instructional designers; and supporting sales and marketing enablement. The role requires real-world ownership of enterprise AI deployments from initial client engagement through production adoption, strong technical writing, and mentoring or teaching experience.

Own multiple marketing projects from scoping through launch and performance tracking. Develop content, community, social media, and brand strategies; build messaging guidelines and audience engagement processes; analyze feedback and campaign metrics; coordinate cross-functional teams and agencies; and test new channels to grow visibility and engagement. The role requires hands-on execution, strategic thinking, consumer brand experience, AI application experience, and strong global communication skills.

Design and build end-to-end Forward Deployed Engineering curriculum projects for experienced production engineers. Define learning goals, infrastructure, environments, databases, submission guidelines, and assessment rubrics. Evaluate technical solutions and tooling, collaborate with instructional designers, and support sales and marketing enablement. The role requires personally owning enterprise AI deployments through production, strong written English, cross-functional communication, and experience mentoring, teaching, tutoring, or reviewing code.

Own the Konnect Developer Portal self-service experience, including application registration, credentials, teams, and environments. Lead discovery, roadmap development, user research, prioritization, cross-functional delivery, and KPI tracking across API, AI, gateway, lifecycle, monetization, and onboarding capabilities. The role requires strong developer empathy, experience with B2B SaaS or platform products, and the ability to connect frontend UX, backend integrations, and system design.

Lead end-to-end enterprise Contract Lifecycle Management implementations, from discovery through post-go-live optimization. Translate legal and business requirements into scalable workflows, approval hierarchies, templates, clause libraries, playbooks, integrations, and data migrations. Advise customers on CLM governance, maturity, AI-powered contract use cases, and operational excellence. Lead UAT, quality assurance, stakeholder training, adoption, and implementation strategy while supporting complex project management responsibilities.

Own a core product domain within Clarium’s healthcare supply chain platform, leading discovery, requirements, delivery, iteration, and product direction. Partner closely with engineering, design, data, sales, marketing, and customer success while engaging healthcare customers and stakeholders. Remove roadblocks, make tradeoffs, and establish product practices in a fast-growing startup. The role requires healthcare technology experience, enterprise workflow and integration expertise, and familiarity with driving change in large health systems. Epic integrations and AI-powered product experience are preferred.

Analyze operational, payment, enrollment, survey, and field data to identify fraud risks and anomalies. Design and validate fraud-risk indicators, support investigations, improve data quality, and translate findings into actionable recommendations. Partner with Product, Data Engineering, and operational teams to develop fraud-detection tools and improve controls. Document reproducible, audit-ready analysis while communicating uncertainty and findings clearly to nontechnical stakeholders.

Sources and qualifies new business across North America, builds and manages pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology-services opportunities. The role targets mid-market and enterprise clients, requires independent prospecting and negotiation skills, and involves attending industry events and client meetings with approximately 40% travel.

Owns partner-sourced and self-sourced enterprise sales for AI consulting engagements. Manages Anthropic and AWS relationships, qualifies leads, runs discovery through signed statements of work, develops new enterprise accounts in Financial Services and Life Sciences, coordinates solution scoping with delivery and architecture teams, leads co-selling and joint pipeline activities, and provides market intelligence to leadership and marketing.

Sells Labman’s commercially available laboratory automation products across the Western USA. Responsibilities include generating new business, managing pipelines and forecasts in Salesforce, leading full sales cycles, exceeding targets, attending industry events, developing strategic customer relationships, and collaborating with product, applications, and engineering teams. The role requires technical sales expertise, strong communication skills, a relevant bachelor’s degree, a clean driving license, and travel exceeding 50% across the territory.

Lead execution of product initiatives for clinical decision support and pathways: manage delivery from kickoff to rollout, handle inbound requests via Jira, coordinate alpha/beta releases, conduct customer discovery, translate prototypes into implementation-ready specs, and support FDA documentation and cross-functional communication across engineering, clinical, sales, and customer success.

Leads the design, development, deployment, and monitoring of advanced statistical and machine learning models for insurance pricing, underwriting, claims, fraud, retention, and growth. Advises executives and actuarial teams, establishes modeling and experimentation standards, ensures responsible and scalable productionization, and mentors data scientists. The role also advances MLOps, AI infrastructure, model lifecycle management, explainability, fairness, and data science strategy.