Enterprise Account Executive

Samaya AI

New York (NY)

On-site

USD 280,000 - 360,000

Full time

14 days+
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Benefits offered by this job

Comprehensive health insurance
401K support
Unlimited PTO
Travel budget for conferences
Office equipment allowance
Remote work setup

Job summary

A leading AI firm in New York is seeking an experienced Enterprise Sales professional. You will lead the sales cycle from generation to closing while developing strategies to both engage new clients and strengthen relationships with existing accounts. Ideal candidates will have 8+ years of experience in enterprise sales, especially in financial services, and a proven track record of meeting sales targets. This role offers a competitive compensation package with OTE ranging from $280K to $360K, along with substantial benefits including health insurance and unlimited PTO.

Qualifications

  • 8+ years experience in Enterprise Sales at high growth companies.
  • Strong experience in enterprise software sales, ideally in financial services.
  • History of exceeding sales targets and contributing to a high-performance culture.

Responsibilities

  • Lead the full sales cycle from lead generation to closing.
  • Develop strategies to engage new clients and strengthen existing accounts.
  • Demonstrate Samaya’s capabilities in product demonstrations.

Skills

Enterprise Sales Experience
Understanding of Financial Services
Stakeholder Engagement
Data-Driven Sales Strategies
Presentation Skills

Job description

Responsibilities
  • Lead the full sales cycle, from lead generation to closing
  • Develop strategies to engage new clients as well as expanding and strengthening relationships with existing accounts
  • Work closely with users and executives at major financial institutions and help them leverage Samaya’s AI for competitive advantage
  • Identify key opportunities, build a strategic pipeline, and influence key stakeholders for enterprise adoption
  • Effectively demonstrate Samaya’s capabilities in high impact product demonstrations
  • Work closely with product and AI teams to deliver outstanding customer outcomes
  • Provide valuable insights on customer needs, competitive positioning, and industry trends to help refine our go-to-market strategy and product roadmap
Experience
  • 8+ years experience in Enterprise Sales at high growth companies
  • Strong experience in enterprise software sales, ideally in financial services. (Familiarity with hedge funds, banks, asset management firms is a bonus)
  • A consistent history of exceeding sales targets and contributing to a winning, high-performance culture
  • Ability to articulate complex ideas in simple, compelling ways through presentations, pitches, and written communication
  • Willing to take ownership and with a natural curiosity and drive to learn, adapt, and innovate in a fast-moving AI industry
  • Skilled in using data and market insights to guide sales strategies and optimize pipeline management
  • Strong ability to connect with and influence decision-makers, from portfolio managers to C-suite executives
Compensation

On Target Earnings (OTE): $280K-$360K range based on experience, (50/50 split - base/variable)

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

In addition to the base salary, you\'ll receive a generous commission plan with unlimited earning potential. Equity may also be considered as part of the overall compensation package.

  • Comprehensive health insurance coverage (medical, dental, vision, and short-term disability) to support your health and wellbeing
  • Support your long-term financial well-being with 401K
  • Flexibility to rest and recharge with unlimited PTO
  • Travel budget to provide opportunities for learning and collaboration by attending conferences, visitings other offices, and more
  • Office equipment allowance to enhance the comfort of your workspace
  • Remote setup that offers flexibility in where you work, while staying aligned with our customers and supported locations
Inclusive Hiring

Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us.

Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Visa Sponsorship: We do sponsor visas! However, we aren\'t able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About Samaya

Samaya is building the first AI agents designed specifically for expert knowledge work in financial services - one of the world’s largest and most information-intensive industries.

In today’s financial world, professionals face overwhelming volumes of fast-moving, complex information. Traditional tools, and even general-purpose AI, lack the accuracy, depth, and reliability needed for critical decisions. We believe AI should go beyond helpful suggestions, it should act as a true expert collaborator.

Our mission is to supercharge financial research and decision-making by empowering professionals to build their own teams of expert AI agents. These agents combine exceptional speed and precision: answering deep questions instantly, automating complex workflows, and delivering structured, predictive insights. Samaya’s platform combines cutting-edge domain-specialized AI models, a world-class engineering and ML team, and a simple, intuitive interface designed for financial professionals.

We\’re growing quickly, our user base has scaled from hundreds to 10,000+, with partnerships spanning top financial institutions around the world, including Morgan Stanley, a top 5 hedge fund, a top 5 asset management firm, and more.

We’re backed by $43.5M in Series A funding led by NEA, with investors including Eric Schmidt, Yann LeCun, Jeff Dean, Marty Chavez, and Mark Cuban.

If you’re excited about building expert AI that transforms how knowledge work is done, and want to be part of a fast-moving, supportive, and ambitious team - we’d love to hear from you.

  • Put Users first. Our users rely on us to do their jobs. We exist because our users trust us to help them achieve their goals. In return for this trust users place in us, we keep their needs as our top priority.
  • Win as a collective. We are high achievers with a drive to succeed. We build strong bonds over this shared drive. We dive in to help when one of us needs it. We’re kind to each other and boost each other to succeed and grow professionally and personally. We build trust with each other by making commitments and consistently delivering on them. This trust means we genuinely support each other, embracing feedback as a tool for growth and improvement. We win by operating this way, as one team.
  • Focus and iterate quickly. Bias for action makes us build and learn quickly. Iterating fast requires clarity on what outcomes we are targeting and why. Prioritizing the important things, taking full ownership and initiative, making fast initial progress, and rapid iterations lead to the best outcomes.
  • Innovate Relentlessly. We pursue novel insights, challenging the status quo and reimagining how things are done. We aren’t attached to the past when improving our product and how we work in the future. We actively invest time in innovation, thinking “outside the box” to consistently raise our standards.
  • Prioritize Outcomes over Egos. We are committed not to a person, an idea, or an opinion but to continuously making progress to our goals. Sometimes, our goals are ambiguous; in those moments, we iterate, learn, and move on to the next inquiry. We ask the tough questions with kindness, dropping our egos in our pursuit of evidence. For our business goals, we learn from our users. For our scientific goals, our understanding is built through rigorous experimentation, research, and observation. For our personal goals, we embrace candid feedback and collaborative learning to guide our progress.

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