Senior Growth Leader

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal Analytics is a strategic AI partner for Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Role Overview:
We’re looking for a true hunter to drive new client acquisition across our Financial Services practice. You are someone who loves opening doors, building relationships from scratch, and turning prospects into signed, net-new logos. You’ll own pipeline creation and the full sales cycle end to end, with a clear focus on winning new business rather than managing accounts over the long term.

The ideal person brings best-in-class strength in at least one core area: Financial Services domain expertise, technical and analytics-led selling, or disciplined sales execution and uses it to position our AI and analytics solutions where they’ll make the biggest impact.

What You’ll Do:
•     Win net-new clients across Financial Services, specifically in banking, payments, and  asset/wealth management 
•    Build and manage a consistent, self-generated pipeline
•    Own the full sales cycle, from prospecting through close
•    Structure and negotiate commercial terms, pricing, and SOWs to close new business
•    Support RFPs and build compelling, client-specific proposals that win
•    Run a structured, disciplined sales process (for example, MEDDIC)
•    Engage senior client stakeholders and position our AI and analytics solutions to their needs
•    Partner closely with internal teams to close deals and set up a smooth delivery handoff
•    Collaborate with distributed delivery and consulting teams across the US and India
•    Transition accounts to delivery after the sale, keeping your focus on the next win

What We’re Looking For:
You’ll be best-in-class in at least one of these areas, and comfortable across the rest:
•    Financial Services domain expertise
•    Technical and analytics-led selling
•    Disciplined, rigorous sales execution

We’d also love to see:
•    A proven ability to build and manage a pipeline independently
•    Strong sales discipline and deal rigor
•    A track record of closing new business
•    The ability to engage both business and technical stakeholders
•    Experience selling complex solutions across AI, analytics, consulting, or technology
•    Depth in core analytics domains such as Customer Analytics, Marketing Analytics, and Forecasting
•    A hands-on selling style : you’re in the deals, not just overseeing them
•    Experience in growth-stage or mid-size companies (a plus)

Experience & Qualifications:
•    10–14 years of sales experience, ideally selling complex or consultative solutions
•    A proven track record of meeting or exceeding sales targets
•    Strong communication and stakeholder-engagement skills
•    Comfort operating in cross-functional, fast-moving environments
•    Willingness to travel as needed (up to ~30%)
•    A graduate degree in a quantitative or technical field (e.g., Computer Science, Statistics, Engineering, Mathematics) is preferred

What Success Looks Like:
•    $2M–$5M in annual new-business revenue from net-new logos
•    A consistently generated, healthy pipeline that converts
•    Strong, repeatable adherence to your sales process

How This Role Works:
This is a dedicated new-business role. You’ll focus on acquiring high-quality, scalable clients, then hand engagements off to our delivery teams once deals close — so you can keep doing what you do best: hunting and winning new logos.

Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be f