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AI Specialist - Data Science and Machine Learning

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Anaplan
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

At Anaplan, we are a team of innovators focused on optimizing business decision‑making through our leading AI‑infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca‑Cola, Linked In, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best‑in‑class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small.

Supported by operating principles of being strategy‑led, values‑based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!

Senior Solution Consultant - AI Specialist (Machine Learning)

At Anaplan, we believe the most powerful business transformations are led by people who are relentlessly curious and brave enough to challenge the status quo. We are looking for a highly experienced technical strategist and innovator who enjoys solving business problems with enterprise AI solutions. This isn't about demoing software; it's about architecting a new future for how the world's leading companies plan, decide, and act.

Job Description

As an AI Specialist SC, you will join our presales team supporting some of our largest global customers. You will focus on our core offerings in machine learning, how do we apply best in class ML, position it appropriately, and have the right technical discussions to be able to drive impact for our global customers. You will collaborate closely with our product teams, sales, domain specialists, business value consultants, customer success, and partners to bring our AI vision to life.

Why

this Role Matters
  • Lead the AI Revolution:
    Decision‑making is moving at an unprecedented speed. You will be at the forefront, helping business leaders move beyond traditional analytics to embrace forecasting automation, agentic workflows, and real‑time ML‑driven insights.
  • Drive Transformative Impact:
    You'll work with decision‑makers at leading enterprise organizations, architecting solutions that impact thousands of employees and billions in revenue.
  • Build Deep Partnerships:
    You'll straddle the line between our product teams and go‑to‑market strategies, ensuring customer needs are met while driving technical wins in the sales process.
  • Define the Future:
    You'll represent one of the fastest‑growing enterprise AI platforms, with a career path to match your ambition. You will be a key voice in applying innovation to solve real‑world business challenges.
Your Responsibilities and Impact
  • Be the go‑to technical expert for our ML capabilities, across multiple frameworks, data modeling, and planning applications.
  • Lead technical discovery sessions to uncover critical business needs and identify opportunities for ML & AI‑driven transformation.
  • Present our POV, solutions and value to customers as part of broader sales motions, narrative‑driven demos, AI workshops, and proofs‑of‑concepts.
  • Coordinate with specialist and product teams to position multi‑product solutions and mature complex, AI‑focused opportunities to close.
  • Serve as the voice of the customer to our product and engineering teams, ensuring your insights from the field shape the future of Anaplan's AI platform.
Your Qualifications
  • Degree in mathematics, statistics, machine learning, data science, physics, computer science, engineering, or another quantitative field.
  • Proficiency in Python and SQL (with a focus on data & analytics applications).
  • A strong grasp of the forecasting and analytics landscape, including business intelligence, machine learning, how to apply them effectively in different scenarios.
  • Professional experience in cloud‑based software from market‑leading providers such as AWS, MS Azure, or Google Cloud.
  • 5+ years of experience in…
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