Top Tech Jobs & Startup Jobs

Designs and delivers data architectures for complex enterprise customers. Leads discovery, profiles warehouse data, creates schemas and identity-matching rules, directs agent-assisted transformations, validates performance and business outcomes, and builds semantic layers and business logic for marketing activation. The architect owns implementation quality, customer alignment, reusable reference architectures, and ongoing technical guidance while informing product teams about platform gaps.

Support customers through Intercom, Slack, phone, and email while helping them maximize platform value. Read API documentation, understand SaaS tools and data fundamentals, troubleshoot technical issues, and collaborate with Technical Account Managers, Solutions Engineers, Marketing, Engineering, and Operations. Participate in an on-call rotation and contribute to customer experience, internal processes, and cross-functional initiatives in a startup environment.

Lead enterprise pre-sales technical sales motions through discovery, solution architecture, product demonstrations, proof-of-concept engagements, and technical validation. Build relationships with data engineers, architects, marketing technologists, and executives; influence complex buying committees; and advise customers on AI workflows, data activation, and agentic marketing solutions. Partner with Account Executives, Product, and Engineering to shape account strategy and go-to-market efforts.

Own developer productivity across a large monorepo and the path to production. Improve build, test, deployment, and coverage workflows; enable teams to ship safely and quickly; support multi-cloud and multi-region expansion; and strengthen operational excellence. The role requires delivering framework-level improvements across teams while contributing to backend feature code and working directly with customers on complex scaling challenges.

Own relationships across a SaaS client portfolio, serving as the primary contact, driving renewals, retention, adoption, and account expansion. Build stakeholder relationships, understand business goals, resolve challenges, lead renewal and strategic review meetings, maintain account records, and coordinate with internal teams. Track account health, report progress, and communicate expansion opportunities to sales. Requires strong communication, organization, problem-solving, financial, and contract management skills.

Own enterprise Email and SMS customer deployments from technical discovery through production launch. Lead architecture workshops, migrations, integrations, configuration, testing, provisioning, consent flows, deliverability readiness, and cutover activities. Advise customers on technical decisions, risks, and dependencies while coordinating technical and business stakeholders. Partner with Product and Engineering to resolve blockers, and develop scalable implementation frameworks, documentation, tooling, and best practices.

Own customer security reviews, questionnaires, due diligence, audits, and the company’s SOC 2 and ISO 27001 compliance programs. Lead practical risk decisions, maintain accurate security responses and evidence, coordinate remediation, assess external partners, and automate compliance workflows. Partner closely with engineering, security, IT, legal, and customer-facing teams to improve controls, documentation, and product security outcomes.

Serve as the bridge between customers and an evolving AI product. Discover customer workflows and automation opportunities, validate problems, design solutions, manage pilot programs, guide deals toward closure, train and onboard customers, and communicate detailed business and technical requirements to Product, Engineering, and Design teams.

Build AI-powered data agents and production LLM pipelines for analytics and marketing workflows. Rapidly prototype AI applications, select architectures and frameworks, and create seamless AI-assisted user experiences. The role requires backend system architecture, product intuition, customer understanding, and creativity with LLM applications. Responsibilities span proof-of-concept development, production implementation, and end-to-end ownership of AI projects.

Own strategic finance models connecting operational capacity, productivity, forecasting, unit economics, pricing, investment, and growth targets. Partner with cross-functional leaders on ROI analysis, scenario planning, board and investor reporting, and business decision-making. Lead forecasting, segment economics, and efficiency analysis in a high-growth environment.