Top Tech Jobs & Startup Jobs in Boston, MA

Develop and execute SEO and Generative Engine Optimization strategies to improve brand visibility across search engines and LLM platforms. Responsibilities include SEO and GEO audits, content optimization, technical SEO implementation, LLM visibility and sentiment analysis, performance reporting, and testing emerging AI search practices. The role collaborates with developers and communicates actionable insights to clients and stakeholders.

Own end-to-end execution of new product development programs, translating approved business cases into charters, schedules, resource plans, governance, and launch milestones. Lead cross-functional teams across engineering, manufacturing, supply chain, quality, procurement, finance, and commercial functions. Manage program scope, cost, schedule, quality, risks, dependencies, changes, executive reporting, and customer commitments for complex technical products and infrastructure.

Develop and execute sourcing and commodity strategies for technology hardware categories. Manage supplier relationships and performance, monitor market conditions, support supply planning and new product introductions, negotiate cost savings, optimize the supply base, and reduce supply chain risk through cross-functional collaboration.

Lead Apollo’s application security strategy across engineering, product, platform, data, and AI teams. Responsibilities include security architecture reviews, threat modeling, secure code review, penetration testing, exploit development, vulnerability management, secure-by-default building blocks, AI security standards, automation, and mentoring security engineers and champions. The role requires solving ambiguous, high-scale AppSec problems, influencing cross-functional roadmaps, and delivering measurable reductions in security risk.

Generate qualified meetings and pipeline for the provider organization through targeted inbound and outbound outreach. Research health systems and provider accounts, identify decision-makers and compelling events, conduct discovery conversations, and manage activity in Salesforce. Collaborate with sales and marketing teams to refine messaging, objection handling, targeting, and the provider go-to-market playbook.

Own Babylist Media’s ad technology, inventory, yield, and offsite distribution strategy. Configure and optimize Koddi, establish capacity and prioritization rules, improve eCPM, fill, and utilization, and transition sponsorships toward CPM and self-serve buying. Lead outsourced ad operations partners, incident response, campaign delivery health, and distribution across Meta, TikTok, YouTube, Pinterest, and Babylist Connect. This player-coach role combines hands-on ad server administration, strategy, vendor management, and cross-functional communication.

Manage enterprise restaurant accounts from onboarding through long-term growth. Improve retention, educate clients using customized data-driven materials, identify expansion opportunities, mitigate churn risk, lead monthly business reviews, interpret account data, and collaborate with analytics, product, marketing, and operations teams to strengthen retailer relationships.

Owns end-to-end collections strategy for complex U.S. enterprise accounts, including payment commitments, disputes, forecasting, delinquency risk, and escalation. Partners with customer finance teams and internal Account Management, Billing, Revenue Accounting, and Order Management teams to resolve payment issues and improve cash outcomes. Maintains account risk visibility, contributes to reserve and write-off discussions, and improves collections processes through automation, reporting, and scalable workflow enhancements.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Lead complex modeling projects combining deep learning, LLMs, and traditional techniques. Prototype, deploy, and monitor production models, mentor data scientists, collaborate with engineering/product, and translate results into business impact for insurance customers.