Strategic Account Executive

Strategic Enterprise Account Executive

Omni

ABOUT OMNI Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack. Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B. ABOUT THE ROLE We are expanding our sales team and seeking a Strategic Account Executive to own our largest, most complex relationships in the Strategic Enterprise segment (5,000+ employees). Reports to the Regional Sales Directors and the VP of Sales. KEY RESPONSIBILITIES * Own multi-year, multi-stakeholder enterprise agreements end-to-end, from initial C-suite engagement through renewal and expansion * Build and execute long-term strategic account plans, orchestrating internal resources (Solutions Engineering, Exec Sponsors, Product, Customer Success) across the full account lifecycle * Lead executive business reviews and act as a trusted advisor to VP/C-level stakeholders on how BI and data strategy ties to their broader business goals * Navigate complex procurement, legal, and security review cycles typical of large enterprise organizations * Serve as a voice of the largest accounts back into Product and GTM leadership, shaping roadmap and packaging decisions * Deliver accurate, forecastable revenue on a smaller number of high-value, high-complexity opportunities ABOUT YOU * 7+ years exceeding quota selling SaaS solutions, with a track record specifically in strategic/named-account enterprise sales * Deep experience running multi-year, multi-million dollar enterprise agreements with formal procurement and legal processes * Executive presence: comfortable leading conversations with CFOs, CDOs, and other C-suite stakeholders * Skilled at building internal and external coalitions to move large, politically complex deals forward * High agency in solving ambiguous, high-stakes business problems with long sales cycles NICE TO HAVE * 7+ years consistently exceeding quotas in the Modern Data Stack (BI, Analytics, ETL) * Expert understanding of the end-to-end data ecosystem and complex integrations * Proven success and high agency within fast-paced, Series A–D environments LOCATION This role allows for a hybrid work schedule if you are based in San Francisco or Santa Cruz. If you are based anywhere else in the US, the role will be remote.   WHY JOIN US * Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data * Health, dental, and vision insurance * 401(k) Plan * Unlimited PTO   Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.

Inside Account Executive

Mongodb

The Inside Account Executive role focuses exclusively on formulating and executing a sales strategy within MongoDB’s most strategic accounts, closing net new workloads and expanding MongoDB’s footprint. WHAT YOU WILL BE DOING * Proactively identify, qualify and close a sales pipeline within MongoDB’s most Strategic Accounts * Drive product adoption in LOPs/BUs you own in the account, upsells / cross sells by cultivating strategic relationships with executives and multi-level champions, aligning to their key initiatives and long term goals * Collaborate cross-functionally with Customer Success, Professional Services, Marketing, Product, and the internal sales ecosystem to drive customer adoption and satisfaction * Meet and exceed quarterly quotas on NWLs, NARR, and PS. * Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and set you up for future success WHAT YOU WILL BRING TO THE TABLE * Min. 3 year B2B sales experience in a quota carrying closing role, or Strategic Account-based selling experience * Experience selling complex Saas and/or Cloud products/services * A proven track record of overachievement through generating your own pipeline and hitting sales targets * Energetic, upbeat, entrepreneurial, tenacious teammate. Possess a strong desire to be successful * Ability to articulate the business value of complex enterprise technology both in verbal and written forms * Passionate about growing your career in the largest and fastest growing market in software (database) through constant development of  sales and tech skills WHAT WE WILL BRING TO THE TABLE * Opportunity to work with and learn from MongoDB’s most talented and experienced Account Executives * Internal mentor and buddy program cross-departmentally * Clear and defined career path to EAE * Uncapped commissions’ Location(s) * Preference for  * Atlanta, Boston, New York, Toronto, Los Angeles, San Francisco, Washington D.C., Austin ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426168 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $75,004.08—$75,004.08 USD

Lakebase Sales Specialist- Financial Services

Databricks

SLSQ327R318 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives within our Financial Services vertical to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for * 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. Preferred qualifications * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  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, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $292,500—$402,150 USD Zone 2 Pay Range $292,500—$402,150 USD Zone 3 Pay Range $292,500—$402,150 USD Zone 4 Pay Range $292,500—$402,150 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.