Top Tech Jobs & Startup Jobs

Leads the technical vision and engineering team for a high-throughput data and event platform. Oversees scalable distributed data systems, pipelines, databases, cloud infrastructure, data governance, and system integration. Partners with AI, ML, analytics, and platform teams to expand self-service capabilities, manages technical debt and architecture decisions, prioritizes projects, and recruits and mentors engineers.

Build, scale, and operate production-grade machine learning systems supporting real-time personalization. The role involves developing scalable data analysis and model-development processes, validating and implementing models, protecting system quality through testing, collaborating cross-functionally, and leading machine learning initiatives. The engineer will work extensively with Python, modern ML frameworks, large-scale data systems, and AWS-based infrastructure while providing technical leadership.

Lead strategy and success planning for strategic SaaS accounts, aligning customer goals, performance, adoption, retention, and growth. Advise clients on lifecycle marketing across SMS, email, and AI-powered channels; coordinate account, services, product, and technical teams; lead business reviews; translate insights into recommendations; manage forecasts, renewals, risks, and expansion opportunities; and build executive-level relationships.

Build, scale, and operate production-grade machine learning systems powering real-time personalization. Lead cross-functional ML initiatives, develop and validate models, create scalable data-analysis processes, prevent regressions through testing, and improve system quality. Partner with Product and Engineering while providing technical leadership in a fast-paced startup environment.

Build, scale, and operate production-grade machine learning systems powering real-time personalization. Develop and validate models, scalable data-analysis processes, and automated ML workflows using modern frameworks and large-scale data. Lead cross-functional ML initiatives, improve system quality, prevent regressions through testing, and collaborate with Product and Engineering to deliver data-driven products.

Serve as the technical backbone of the sales process by guiding solution evaluations, delivering customized product demonstrations, addressing security and compliance questions, collaborating on onboarding and implementation, informing product roadmap decisions, and leading internal product enablement. The role requires strong technical sales expertise, customer relationship skills, and familiarity with APIs, SFTP, programming languages, analytics, CRM, project management, and RFP tools.

Lead Attentive’s global B2B SaaS Support organization across the US, UK, and Australia. Own the management team, operating model, budget, capacity planning, quality standards, SLOs, partner operations, premium support offering, Support Engineering discipline, and senior escalations. Drive scalable use of AI, automation, offshore capacity, and cross-functional collaboration with Product, Engineering, Customer Success, Services, Sales, and Enablement.

Own the evolution of Attentive’s data platform model and extensibility strategy. Define reusable data objects, relationships, and semantic layers that support diverse customer use cases. Partner with product and engineering to expose data consistently across segmentation, personalization, reporting, APIs, and MCP surfaces. Translate complex infrastructure investments into customer and business outcomes while aligning teams around scalable platform decisions.

Lead corporate security investigations and incident response across identity, endpoints, SaaS, email, and security platforms. Improve detection, response, Zero Trust controls, automation, and incident readiness. Conduct vendor security assessments, support customer security questionnaires, document risk decisions, and collaborate with Security, IT, Engineering, Legal, GRC, Procurement, Sales, and Customer Success teams.

Leads editorial, public relations, strategic communications, executive visibility, thought leadership, media relations, and cross-channel content activation. Develops communications plans for launches and milestones, manages PR agencies and measurement, oversees crisis communications, shapes corporate positioning, and supports employer brand and internal communications. The role partners cross-functionally with product, marketing, analytics, executives, customers, and external media to strengthen brand reputation and engagement.