[All remote jobs](https://jobicy.com/jobs.md)[![CentralReach logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/07/a0eac9f542eb8c3fff7c19990dd5c1bb.jpg)](https://jobicy.com/company/centralreach.md)[CentralReach](https://jobicy.com/company/centralreach.md)

# Senior Sales Engineer, Data Products

AI Summary CentralReach ищет Senior Sales Engineer для ведения технической части продаж продуктов данных от discovery до закрытия сделки. Специалист будет работать с Account Managers и Account Executives, проводить технические консультации, демонстрации, POC и оценку бизнес-кейсов. Роль требует уверенного понимания современных data-платформ, API, облачной инфраструктуры, governance и enterprise security. Важна способность объяснять архитектурные решения как техническим руководителям, так и CFO и другим бизнес-заказчикам. Это автономная позиция в развивающейся команде Data Products с влиянием на процессы, продуктовую обратную связь и стратегию продаж.[Apply for this job](#job-application)[View company](https://jobicy.com/company/centralreach.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 125k–160k / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished5 Nov 2026Apply before5 Dec 2026Listing views22Application actions1Application toolkit

## Make your next move.

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Opportunity details

## About this role.

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](https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcentralreach.com%2Fcareers%2F&data=05%7C02%7Cjamie.madarasz%40centralreach.com%7Cb7b1c0d4e2354127669a08dda36f3df3%7C515bdea7d91847b3b73f5700d21635ec%7C0%7C0%7C638846420463140236%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=WNerHqhY5w8%2Fh6TrRUbAh6uyPQJS8ymWAWaKuyJfaHo%3D&reserved=0).

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](https://centralreach365.sharepoint.com/:b:/s/ApplicantPrivacyNotice/IQBl-WqOdm5oQI9tZ2avE2_7AYJGJ5xXuv-ubvZ989Cf9tk?e=KdZc3m) to understand how we collect, use, store, and protect your personal information during the recruitment process.

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[Apply now >](https://jobicy.com/jobs/159047-senior-sales-engineer-data-products.md)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightРоль объединяет сложные технические продажи, архитектурные консультации и коммерческую ответственность за техническую валидацию сделок. Кандидату необходимо самостоятельно выстраивать процессы, быстро квалифицировать возможности и работать с несколькими группами стейкхолдеров.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$142,500US market range (per year)$130k–$175k0$192.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Работодатель указывает базовый диапазон $125,000–$160,000 USD. Годовой период является логически выведенным, поскольку в объявлении он не указан явно; он соответствует практике оплаты штатной senior sales engineering роли в США. Оценочный рыночный диапазон для аналогичной позиции составляет $130,000–$175,000 USD в год без учёта переменной комиссии и льгот.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Sales engineering](https://jobicy.com/jobs?search_keywords=Sales%20engineering.md)[Solution consulting](https://jobicy.com/jobs?search_keywords=Solution%20consulting.md)[Technical discovery](https://jobicy.com/jobs?search_keywords=Technical%20discovery.md)[Data architecture](https://jobicy.com/jobs?search_keywords=Data%20architecture.md)[Data warehousing](https://jobicy.com/jobs?search_keywords=Data%20warehousing.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Proof of concept management](https://jobicy.com/jobs?search_keywords=Proof%20of%20concept%20management.md)[ROI analysis](https://jobicy.com/jobs?search_keywords=ROI%20analysis.md)[Total cost of ownership analysis](https://jobicy.com/jobs?search_keywords=Total%20cost%20of%20ownership%20analysis.md)[Enterprise security reviews](https://jobicy.com/jobs?search_keywords=Enterprise%20security%20reviews.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Technical demonstrations](https://jobicy.com/jobs?search_keywords=Technical%20demonstrations.md)[AI tooling](https://jobicy.com/jobs?search_keywords=AI%20tooling.md)

Sample interview questionsHow would you structure a technical discovery call with a healthcare provider evaluating a new data warehouse?I would first align on the business outcome and decision process, then map data sources, current workflows, governance constraints, users, integration needs, and success metrics. I would summarize the findings into explicit technical and commercial requirements before proposing an evaluation plan.

How do you prevent a proof of concept from becoming an indefinite pilot?

I define a limited scope, named stakeholders, measurable success criteria, required customer effort, timeline, and a decision date before starting. I review progress against those criteria regularly and recommend disqualification when the customer cannot support a credible path to a decision.

How would you explain the value of a managed analytics platform to a CFO who is considering building internally?

I would frame the comparison around total cost of ownership, time to value, delivery risk, ongoing maintenance, compliance requirements, and opportunity cost. I would quantify the likely internal staffing and infrastructure investment against the expected business outcomes and implementation timeline.

What technical areas would you examine during an enterprise data-platform security review?

I would address identity and access controls, entitlements, encryption, data residency, audit logs, retention, API security, de-identification, incident response, and vendor assurance documentation. I would also identify which controls are product capabilities versus customer configuration responsibilities.

How do you handle a prospect's technical objection that a competitor has stronger capabilities?

I clarify the underlying use case and the evidence behind the claim, then test the competitor assertion against the prospect's actual requirements. I respond transparently with architecture trade-offs, demonstrate relevant capabilities, and avoid competing on unsupported assumptions.

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