Matia Logo

Matia

Solutions Engineer

Posted 2 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Own the technical win throughout the sales cycle by leading demos, workshops, proof-of-concepts, and architecture mapping. Lead customer onboarding, troubleshoot integrations, resolve technical issues with engineering, and provide technical support. Communicate field requirements to Product and Engineering while collaborating with Marketing on technical content. The role requires strong SQL and Modern Data Stack knowledge, customer communication skills, and comfort in a fast-paced startup environment.
The summary above was generated by AI
About Matia

Matia is at the forefront of the DataOps revolution, building a unified platform that streamlines data management from end-to-end. We empower data teams with seamless ingestion, reverse ETL, comprehensive observability, and intuitive data cataloging, enabling faster, smarter decisions with significantly less tool sprawl. Backed by leading investors and trusted by data teams at companies like Ramp, Drata, Outsystems, and many more.

The Opportunity

We’re looking for a technically-minded and customer-obsessed Solutions Engineer to join our rapidly growing go-to-market (GTM) field engineering team. In this role, you will sit at the intersection of Sales, Product, and Customer Success. You will be responsible for "owning the technical win" during the sales cycle and ensuring our customers successfully deploy and derive value from Matia post-sale.

This is a high-impact role for someone who loves solving complex data architecture puzzles and isn't afraid to dive deep into support tickets to ensure a world-class customer experience.

What You'll Do

Technical Sales Execution

  • Lead Technical Demonstrations: Conduct high-impact product demos and technical workshops tailored to specific client challenges and data environments.

  • Manage Proof-of-Concepts (POCs): Define success criteria for POCs and guide prospective customers through the technical evaluation of the Matia platform.

  • Architecture Mapping: Develop technical diagrams, documentation, and reusable assets to show customers how Matia integrates with their existing Modern Data Stack (e.g. Snowflake, BigQuery, Airflow, dbt, Sigma, Omni).

Customer Support & Success

  • Technical Onboarding: Lead the technical implementation for new customers, ensuring seamless data connections and configuration.

  • Front-line Support: Act as a primary technical point of contact for customer inquiries. This includes troubleshooting integration issues, resolving bugs in collaboration with engineering, and providing "how-to" guidance.

Bridge Product & Market

  • Feedback Loop: Funnel technical requirements and "feature gaps" from the field directly to our Product and Engineering teams in Israel.

  • GTM Collaboration: Partner with Marketing to create technical content, such as webinars, blog posts, and whitepapers focused on specific DataOps use cases.

What We’re Looking For
  • Technical Proficiency: You have 4+ years of experience in Solutions Engineering, Technical Support, Analytics Engineering, or Data Engineering.

  • Data Fluency: You have a strong understanding of SQL and the Modern Data Stack (ETL/ELT, Data Warehousing, Data Observability, and Data Governance).

  • Problem Solver: You enjoy the "detective work" of support, digging into logs, testing APIs, and finding creative workarounds for complex data pipelines.

  • Communicator: You can explain complex technical concepts to both a Data Engineer and a C-level executive with equal clarity.

  • Grit: You thrive in a fast-paced, Series A environment where roles are fluid and "that's not my job" isn't in your vocabulary.

Nice to Have
  • Experience in a data consultancy or as a practitioner (Data Engineer/Analytics Engineer).

  • Experience supporting customers across different time zones.

What’s in it for you?
  • Impact: You are one of the earliest hires in the US GTM team; your work directly influences our product roadmap.

  • Growth: Direct access to leadership and a culture that prioritizes internal promotion as we scale.

  • Flexibility: A results-driven, remote-friendly environment with a "no ego" team culture.

How to Apply

Does this role sound like a good fit for you? We encourage you to apply directly through our website.

This role requires candidates to be legally authorized to work in the United States without company sponsorship now or in the future.

Matia Inc is an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.

Similar Jobs

3 Days Ago
Remote or Hybrid
128K-160K Annually
Mid level
128K-160K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Supports sales by delivering technical demonstrations, managing proof-of-concepts, leading solution evaluations, participating in cloud architecture discussions, completing RFIs and RFPs, and presenting to executives and prospects. The role partners with sales teams, channel partners, customers, product management, and services teams while troubleshooting technical issues and promoting Dynatrace observability solutions. Travel up to 30% is required.
Top Skills: .NetAdvanced ObservabilityAnsibleApplication Performance ManagementAWSAzureCi/CdContainersCSSDevOpsDynatraceGCPGoHTMLJavaJavaScriptKubernetesLinuxNode.jsOpenshiftPHPPuppetServerless FunctionsSite Reliability EngineeringTerraformWindows
3 Days Ago
Remote or Hybrid
130K-160K Annually
Senior level
130K-160K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Provides technical support throughout the sales cycle by delivering product demonstrations, leading proof-of-concept evaluations, supporting cloud architecture discussions, completing RFIs and RFPs, and presenting to executives and at industry events. Partners with sales teams, channel partners, customers, product management, and services teams. Requires deep observability expertise, strong technical communication, troubleshooting, and knowledge of cloud, DevOps, containers, Kubernetes, automation, and modern web and programming technologies.
Top Skills: .NetAdvanced ObservabilityAnsibleApplication Performance ManagementAWSAzureCi/CdContainersCSSDevOpsDynatraceGoGoogle Cloud PlatformHTMLJavaJavaScriptKubernetesLinuxNode.jsOpenshiftPHPPuppetServerless FunctionsSite Reliability EngineeringTerraformWindows
4 Days Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
Serve as the technical partner across pre-sales and post-sales, leading discovery, solution design, demonstrations, proofs of concept, implementation planning, onboarding, integrations, training, and documentation. Collaborate with Sales, Customer Success, Product, Engineering, and Data teams to resolve technical issues, capture feedback, support expansion, and improve customer outcomes for financial institutions and fintechs using KYB, KYC, AML, fraud, and identity verification solutions.
Top Skills: AIJIRAMonday.ComNode.jsReactSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account