Senior Sales Account Executive
We are seeking a Senior Enterprise Account Executive to drive new logo acquisition and enterprise expansion across all industries. This role is ideal for a proven enterprise seller who thrives in hyper-growth startup environments, enjoys selling complex technology, and wants to operate at the forefront of AI, data, and analytics.
You will own the full sales cycle—from prospecting and discovery through close and expansion—partnering closely with Sales Engineering, Marketing, Product, and Account Management to deliver measurable value to enterprise customers.
WHAT YOU’LL DO
- Own and manage the full enterprise sales cycle, from initial engagement to close and expansion
- Build and execute strategic account plans for complex, multi-stakeholder enterprise customers
- Develop trusted relationships with executive buyers, data leaders, architects, and practitioners
- Clearly articulate Coginiti’s value across analytics, data engineering, governance, and AI readiness
- Consistently exceed quarterly and annual revenue targets
- Collaborate with Sales Engineering to deliver compelling demonstrations and technical validation
- Partner with Marketing on pipeline generation, events, and thought leadership initiatives
- Maintain accurate pipeline management and forecasting within CRM
- Provide field feedback to influence product direction and go-to-market strategy
WHAT WE’RE LOOKING FOR
- 5+ years of enterprise sales experience, with a consistent record of exceeding quota
- 5+ years of experience in the AI, data, and analytics ecosystem, including one or more of: ETL / ELT platforms, data transformation and modeling, metadata catalogs and data governance, BI and analytics platforms, data warehouses and cloud data platforms, AI and machine learning tooling
- Proven success selling to large, complex enterprises across multiple industries
- Experience thriving in high-growth startup or scale-up environments
- Deep understanding of consultative, value-based solution selling and enterprise sales methodologies, including Sandler Sales, MEDDPICC, and Challenger
- Strong consultative selling skills with the ability to translate technical capabilities into business outcomes
- Self-starter mentality with high ownership, curiosity, and a hunger to continuously learn
- Excellent communication, negotiation, and executive presence
WHY COGINITI
- Sell a differentiated platform at the center of modern data and AI architectures
- Work alongside experienced operators who value execution, transparency, and collaboration
- Competitive compensation with uncapped upside
- High-impact role with visibility and influence on company growth
- Flexible remote work environment with a preference for Atlanta-based candidates
COMPENSATION AND PAY RANGE TRANSPARENCY
Coginiti is committed to pay transparency and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Coginiti anticipates utilizing the full width of the range.
The on-target earnings (OTE) range for this role is $250,000 to $500,000. Compensation includes a competitive base salary plus a variable commission plan aligned to enterprise revenue targets. The total compensation package for this position may also include eligibility for annual performance bonus and equity.
BENEFITS
At Coginiti, we strive to provide comprehensive benefits that meet the needs of all of our employees including health, dental, 401k, and flexible PTO benefits.
ABOUT COGINITI
Coginiti is a data operations (DataOps) and analytics platform that helps organizations build trusted, AI-ready data foundations. We enable data teams to collaborate, govern, and scale analytics and AI with confidence—bringing structure, efficiency, and trust to the data development lifecycle.
As enterprises accelerate investments in AI and advanced analytics, Coginiti sits at the intersection of data engineering, analytics, and governance—helping customers turn data into durable, high-value data products.
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