Top Tech Jobs & Startup Jobs

Own senior client relationships and delivery success across multiple concurrent engagements. Lead engagement teams, manage scope, economics, profitability, and risk, and communicate with C-suite stakeholders. Develop team members, support recruiting, identify account growth opportunities, and contribute to business strategy. Collaborate with data, software, AI, and engineering specialists, using technical fluency to guide integrated solutions and deliver measurable client outcomes.

Serve as a strategic post-sales advisor helping enterprise customers achieve business outcomes with Mimica. Build customer success plans, provide product support, interpret process intelligence outputs, identify improvement opportunities, and deliver actionable recommendations. Collaborate with Sales, Marketing, Solution Engineering, Partners, Product, Engineering, and Machine Learning teams. Drive onboarding, training, adoption, account expansion, stakeholder alignment, and customer feedback for roadmap development.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.

The Customer Success Manager will manage 25-40 accounts, focusing on onboarding, upselling, and ensuring customer satisfaction with a technical healthcare product.

The Analytics Manager investigates business questions, delivers actionable insights, maintains data models and Looker dashboards, and communicates findings through presentations and visualizations. The role develops testing frameworks, subscription unit-economic models, marketing attribution, retention and cohort forecasts, and customer segmentation. It also partners with Product and Engineering to improve application tracking and customer behavior visibility.

Drive enterprise SaaS sales for Vibes’ mobile engagement platform, building outbound pipeline and leading complex sales cycles exceeding $100K through close. Tailor value propositions for enterprise marketing buyers, translate SMS, MMS, RCS, API, and carrier infrastructure capabilities into business outcomes, maintain accurate HubSpot forecasting, use AI and sales tools effectively, exceed quotas, and travel for conferences and customer meetings up to 50% of the time.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

The Paid Media Specialist will execute and manage paid media campaigns, utilizing analytical and creative skills to optimize performance and achieve client goals.

Close high-volume inbound and outbound sales to travel advisors and small teams. Run individual and group SaaS demos, build outbound pipeline, follow up promptly, expand accounts into team plans, win back lapsed prospects, maintain accurate HubSpot pipelines, and share market feedback with marketing and product. The role requires consultative selling at speed, self-sourced pipeline creation, and strong performance in short-cycle SMB sales.