Top Tech Jobs & Startup Jobs

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.

Qualify and nurture inbound leads, communicate through phone and email, gather sales qualification information, book demos, and transition qualified prospects to sales. Maintain lead records, report conversion metrics, collaborate with Sales and Marketing, and improve follow-up strategies. The representative will use Salesforce, ZoomInfo, Outreach, Sales Navigator, Nooks, and related tools while developing foundational sales skills in a hybrid Denver office role.

Own Earth’s product direction, roadmap, prioritization, product processes, and release rhythm. Partner with Engineering, Operations, Sales, Marketing, and Leadership to build consumer products for families and internal teams. Lead customer discovery, define success metrics, and drive launches and iteration. Build the Design function, hire the first Product Designer, mentor an existing Product Manager, and remain hands-on throughout the product lifecycle.

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

Own PointFive’s growth and demand-generation engine across paid media, lifecycle marketing, integrated campaigns, field events, outbound orchestration, website conversion, and pipeline reporting. Manage budgets, agencies, contractors, and marketing technology including HubSpot, Salesforce, Snowflake, Google Analytics, and Common Room. Partner closely with sales to align targeting and outbound programs while independently testing channels, analyzing performance, and optimizing pipeline creation.

Advise enterprise customers on cloud and AI efficiency, cost optimization, infrastructure remediation, and agentic workflows. Own a portfolio of NAM accounts, deliver strategic engagements, and build PointFive’s professional services offering from the ground up. Partner with Sales, Product, and Engineering to support deals, renewals, roadmap development, and scalable automation. Establish best practices for AI and token spend management while serving as a thought leader through writing, speaking, and industry participation.

Develops mechanical test plans, procedures, and methods for SRAM products; builds and improves automated test systems for mechatronic devices; analyzes product behavior and test data; resolves testing issues; applies statistics and reliability principles; and communicates results to support product development.

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Lead and develop a team of 6-8 account managers to deliver exceptional client service for enterprise accounts. Manage team operations and KPIs, implement scalable workflows and playbooks, drive process innovation, partner cross-functionally, resolve escalations, and build trusted client relationships to maximize retention and portfolio growth.

Own the measurement and improvement of model learning from tasks. Collaborate with frontier labs to design post-training recipes and data-quality techniques, run in-house evaluation systems, develop datasets and data products, assess acquired data, and build scalable ingestion and evaluation systems. The role requires production reinforcement learning experience at a frontier lab and end-to-end LLM post-training expertise.