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Open nowPosted 14 hours ago

Senior Sales Engineer, Data Products

CentralReach15 open roles

Pay
$125,000 – $160,000 a year
Where
Remote - US
Work mode
Remote
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Your applicationOpen nowSenior Sales Engineer, Data ProductsCentralReach · Remote - US

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on CentralReach's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. CentralReach postings stay open a median of 42 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 14 hours ago

CentralReach median: 42 days open

The posting

CentralReach is a leading provider of autism and IDD care software for Applied Behavior Analysis (ABA), multidisciplinary therapy, and special education. Trusted by more than 200,000 users, we enable therapy providers, educators, and employers to scale the way they deliver ABA and related therapies with innovative technology, market-leading industry expertise, and world-class customer satisfaction.

CentralReach's Data Products team is seeking a Senior Sales Consultant to own the technical side of every data opportunity we pursue. You will partner with Account Managers across our existing provider base and with new business Account Executives to understand customer data problems, design credible solutions and lead the technical evaluation from first discovery through close. You should be equally comfortable discussing business outcomes with a CFO as you are discussing data architecture with a head of data.

The Data Products team is a startup operating inside CentralReach. We are establishing our own playbook and processes as we build. We are looking for someone with low patience for heavy process and a high ownership mentality. You challenge weak requirements, you kill poorly scoped evaluations early and you do not wait for a playbook to be handed to you. You will have meaningful influence over product direction and the data sales process.

Key Accountabilities:

  • Own the technical portion of the sales process from discovery through technical validation and close
  • Partner with Account Managers and new business Account Executives on account strategy, qualification, deal planning and stakeholder management
  • Work with the VP of Data Products to evaluate the existing customer base, identify which accounts are ready for which products and help build target lists with Account Managers
  • Lead technical discovery to uncover the customer's architecture, workflows, pain points, decision criteria and business objectives, then translate what you find into clear solution designs across Advanced BI, Data Warehouse, APIs and Benchmarking
  • Deliver tailored demos that connect capability to measurable customer outcomes rather than scripted product tours
  • Scope and run proofs of concept and technical evaluations with success criteria defined up front, and drive each one to a yes or a no on a timeline
  • Build and defend the business case, including TCO and ROI comparisons against a customer building the capability in-house
  • Map each customer to the right product for their current stage and name what they will need at the next one
  • Handle technical objections spanning architecture, security, data access, scalability, deployment, APIs, entitlements and integration, and test what competitors actually deliver rather than absorbing what prospects believe they deliver
  • Create reusable evaluation plans, ROI models, solution patterns and technical collateral that let the broader sales organization participate
  • Provide structured feedback to Product and Engineering from customer conversations, competitive evaluations and recurring technical requirements, and support handoff after close so expectations, architecture decisions and success criteria are documented
  • Use AI tooling (LLMs, code copilots, semantic search) as a core part of your workflow. This is how the team works, not a nice-to-have

Desired Skills and Experience:

  • 5+ years in sales engineering, solutions consulting or pre-sales architecture supporting a technical B2B product in data infrastructure, analytics, developer tools, observability or enterprise AI
  • A track record of evaluations that ended in a decision rather than in an indefinite pilot, and of deals you can point to as technically won
  • Experience selling to data and engineering leaders alongside business buyers such as CEOs, CFOs and COOs
  • Exceptional written and verbal communication, with the ability to explain complex methodology to a non-technical executive without losing precision
  • Comfortable in a team still building its processes, with a bias toward action

Commercial Judgment

  • Willingness to disqualify and to challenge weak requirements before an evaluation gets scoped
  • Understanding of how architecture and delivery decisions affect pricing, packaging and renewal outcomes, including consumption-based models
  • Sound instincts about where technical effort is worth spending across several live opportunities at once
  • Low ego, with real curiosity about how customers work rather than about what the product does

Technical Skills

  • Working knowledge of modern data architecture: warehouses, databases, APIs, cloud infrastructure and pipelines
  • Understanding of data governance, de-identification, suppression, entitlements and the audit requirements of externally facing analytics
  • Enough architecture depth to hold a credible conversation with a head of data who has already stood up their own stack, without reaching for unnecessary complexity

Preferred Qualifications

  • Experience at a data, analytics, cloud, infrastructure or observability company and familiarity with platforms such as Snowflake, Databricks, dbt or Looker
  • Experience with enterprise security review, procurement and technical diligence
  • Experience joining or helping build an early sales engineering organization or selling an emerging category where customer education is part of the cycle
  • Healthcare data exposure such as claims, quality measures or de-identification standards

#LI-Remote

Base Salary Range

$125,000—$160,000 USD

Backed by Roper Technologies, Inc. (Nasdaq: ROP), CentralReach is entering an exciting phase of growth, innovation, and scale.

Recognized as one of the best places to work over 10 times by organizations such as Inc, Built In, and NJBIZ, our culture is centered around impact, inclusion, and flexibility. As a hybrid company with collaborative offices in Ft. Lauderdale, FL; Holmdel, NJ; and Verona, Italy, we foster a workplace where top talent can thrive and make a real difference in the lives of those we serve.

We offer competitive compensation, comprehensive health benefits, generous PTO, 401(k) matching, and paid parental leave to our full-time employees. Our team members also enjoy hybrid work schedules, career development support, wellness programs, and opportunities to give back through CR Cares™, our community engagement initiative.

Be part of a market leader driving the future of care. Explore opportunities at centralreach.com/careers.

Protecting your information is important to us. Please take a moment to review our Notice of Privacy Practices for Job Applicants. Applicant-Privacy-Notice-110725 to understand how we collect, use, store, and protect your personal information during the recruitment process.

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