Jobs at Omni (omni.co)

Lead enterprise sales for customers with 501–5,000 employees, owning revenue targets, forecasting, pipeline health, strategic deals, and CRM discipline. Recruit, coach, and develop Account Executives while establishing performance standards and scalable sales processes. Partner with Marketing, Product, and Customer Success on pipeline generation, market insights, customer handoffs, and expansion. Requires B2B SaaS sales leadership and familiarity with BI, data analytics, or ETL platforms.

Own the company-wide financial model, including five-year planning, scenario analysis, forecasting, budgeting, variance reporting, and commission calculations. Partner with Accounting, Sales, RevOps, and department leaders to maintain accurate financial workflows and support strategic decisions involving pricing, hiring, and investment. This remote role requires strong SaaS financial expertise, advanced modeling skills, and independent execution in a scaling startup.

Lead and grow Omni’s North American Solutions Engineering team. Responsibilities include hiring, coaching, resource planning, technical discovery, demos, proofs of concept, playbook development, performance tracking, and executive customer engagement. The manager will partner with Sales, Product, and Engineering while remaining hands-on in strategic technical evaluations. Candidates need business intelligence or analytics presales experience, people-management experience, strong SQL and modern data stack familiarity, and excellent communication skills.

Pre-Sales Solutions Engineer responsible for supporting enterprise sales through technical expertise, customer discovery, and proof-of-concept development using the Omni analytics platform. The role involves presenting solutions, enabling customers on their data, transitioning trials to successful implementations, collaborating with post-sales teams and partners, and providing feedback to Product, Design, and Engineering. Strong SQL, business intelligence, enterprise analytics, client-facing, and consultative communication skills are required.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

Build and scale a growth data platform: design queues and workers for enrichment, routing, assignment, and activation; integrate CRM, ads, intent, and enrichment vendors; convert experiments into reusable platform primitives; and debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream systems.

Lead technical discovery, demos, and large-scale POCs for enterprise customers; mentor Solutions Engineers; partner with sales and product leadership to shape technical playbooks and influence roadmap; drive transitions from trials to production and represent the org in executive customer conversations.

Responsible for driving BI/analytics SaaS sales to mid-market and enterprise accounts (500–5,000 employees). Manage full sales cycle using MEDDPICC and 3 Whys, lead POCs/workshops with Solutions Engineering, build partner-sourced pipeline, create renewal/cross-sell business cases, and deliver accurate GTM forecasts to exceed quotas.

Own the full sales cycle for Omni's BI/AI analytics platform in the mid-market (100–500 employees). Generate pipeline via outbound and inbound, qualify using MEDDPICC and 3 Whys, run POCs with Solutions Engineering, build value cases, forecast accurately, and collaborate with partners and account teams to drive onboarding, cross-sell, and renewals.

Own and expand enterprise (5,000+ employees) strategic accounts end-to-end: build long-term account plans, engage C-suite, navigate procurement/legal/security reviews, coordinate internal teams, influence product and GTM, and deliver forecastable revenue on high-value, complex deals.

The role involves building user experiences, APIs, and data handling processes in a TypeScript application using React and Remix, while balancing performance and quality.

Support enterprise GTM by creating and customizing sales narratives, decks, ROI frameworks, and customer stories. Partner with AEs, Solutions Engineers, and Customer Success to produce deal-specific content that advances complex, multi-stakeholder opportunities. Build reusable content libraries, participate in deal reviews and account plans, translate technical proofs into CFO-facing business cases, and support expansion into new industries and lines of business.