Top Tech Jobs & Startup Jobs in Boston, MA

Own and grow strategic financial services accounts across hedge funds, banks, asset managers, and private equity firms. Drive renewals, upsells, cross-sells, multi-year agreements, data trials, negotiations, forecasting, and executive relationships. Partner with Customer Success, Solutions Engineering, Product, and Marketing to demonstrate the value of location intelligence and alternative data. Represent Placer.ai at investor events and conferences.

Own and grow a B2B software customer portfolio across renewals, upsells, and cross-sells. Partner with Customer Success, Sales Development, and Solutions Engineering teams to develop retention and expansion strategies, negotiate contracts, forecast revenue, and drive customer adoption. Build trusted client relationships, demonstrate product value, manage renewal and sales processes, and support multi-year agreements. This is a fully remote role requiring approximately 30% travel for conferences.

Lead the technical vision and development of Placer.ai’s AI-powered location intelligence platform. Build full-stack conversational AI features, including LLM integrations, retrieval, agents, tool-calling, streaming interfaces, evaluations, monitoring, and security controls. Translate ambiguous requirements into scalable production systems, make architecture decisions, collaborate with product, design, and customers, and improve engineering practices through code reviews, testing, and AI-assisted development.

Sell Placer.ai’s location analytics platform to management consulting, advisory, and professional services firms. Manage complex, multi-threaded sales cycles, develop pipeline, conduct platform demos, negotiate data licensing and procurement requirements, and expand project-based deals into enterprise agreements. Build relationships with consulting leaders and partners, collaborate with Solutions Engineering, Customer Success, and Partnerships, and consistently achieve sales targets. The role is fully remote with up to 10% travel.

Leads revenue marketing strategy and execution across ABM, paid media, SEO/AEO, website conversion, and product-led growth. Owns pipeline forecasting, CAC and funnel efficiency, qualified pipeline generation, attribution, and budget allocation across sales-assisted and self-serve channels. Partners with Sales, RevOps, Product, and Customer Success while building a high-performing demand generation team and embedding AI into reporting and campaign workflows.

Build Placer.ai’s internal AI platform, including autonomous agents, MCP servers, SaaS and internal-tool integrations, authentication infrastructure, Claude plugins, Databricks data pipelines, usage analytics, and scalable platform infrastructure. Establish connector standards, optimize costs, triage integration requests, and implement security and compliance controls while partnering across engineering, data, operations, and business teams.

Owns the marketing operations strategy, systems architecture, data integrity, lead lifecycle, routing, attribution, reporting, governance, and marketing technology roadmap. Partners with sales and revenue operations, manages vendor decisions, ensures compliance, and leads the marketing operations team. The role requires strong HubSpot and Salesforce expertise, analytical judgment, cross-functional leadership, and the ability to align marketing and sales around reliable funnel definitions and performance metrics.

Sell Placer.ai’s SaaS location analytics platform to large organizations through complex, multi-stakeholder sales cycles. Responsibilities include prospecting and managing pipeline, conducting 20+ platform demos monthly, collaborating with pre- and post-sales teams, maintaining accurate forecasts, and consistently exceeding sales goals. The role is fully remote, requires 10% travel for conferences, and involves managing 30+ weekly meetings when fully ramped.

Pre-sales technical role that delivers bespoke demos, POCs, and data validations for strategic accounts. Collaborates with Sales on account strategy, translates discovery into ROI narratives, enables post-sale customer success, and informs product roadmap priorities.