Technical Solutions Engineer

Antramo, Inc; Santa Clara (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k)

Paid time off

Parental & bereavement leave

Team off-sites

Job summary

Antramo, Inc is seeking a Solutions Engineer in Santa Clara, CA to bridge technical and business needs. You will collaborate with Account Executives and security/data teams to tailor demonstrations, run proofs of value in cloud environments, and articulate the architectural details so customers understand how data and AI are governed within their environment.

The role blends technical execution with customer interaction, requiring startup mindset and ability to operate across architecture

Qualifications

• 2 to 4 years in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Solutions Architect, or Customer Success Engineer.
• Working knowledge of a cloud data platform (Snowflake, Databricks, or BigQuery) and one major cloud (AWS, Azure, or GCP).
• Comfort with SQL and basic scripting.

Responsibilities

• Partner with Account Executives on technical discovery and qualification, and help shape deal strategy.
• Deliver clear, tailored demos built around customer priorities: Identity, Access, Activity, and Exposure for security and governance teams.
• Lead proofs of value in customer environments (Snowflake, Databricks, BigQuery, AWS, Azure) from scoping to readout.
• Explain product architecture to security and data teams to show how data and controls stay in the customer environment.
• Show how the product governs AI and connects to enterprise data through credentials.
• Position the product with existing tools like catalogs, IAM, DSPM, and SIEM.
• Respond to security questionnaires and RFPs and support technical due diligence.
• Provide field feedback to Product and Engineering to sharpen messaging and positioning.
• Build demo assets, reference architectures, and enablement content.

Skills

SQL

Cloud data platform

Technical communication

scripting

Tools

Snowflake

Databricks

BigQuery

AWS

Azure

GCP

Job description

Are you ready to join an early-stage startup that secures the data and AI behind some of the world’s most regulated enterprises? Be part of a team that is changing how enterprises secure and govern their data and AI, from inside the data store.

The Solutions Engineer plays a mission-critical role at the intersection of technology, customers, and revenue. As an SE, you are the technical voice customers trust from first call to proof of value. You turn a security, data, or AI leader’s real problems, such as insider risk, over-broad access, sensitive data exposure, or ungoverned AI agents, into a clear picture of how Theom solves them inside their environment.

You will partner with Account Executives, work directly with security, data platform, AI, and compliance teams, and carry customer needs back to Product and Engineering. This is not a purely technical role, and it is not a traditional quota-carrying sales role. It is a hybrid startup role for someone equally comfortable in customer conversations, architecture discussions, live demos, proofs of value, and cross-functional collaboration. We are looking for a true startup mindset: a bias to action, comfort with ambiguity, and the drive to build the playbook rather than inherit one.

What You’ll Do

• Partner with Account Executives on technical discovery and qualification, and help shape deal strategy.
• Deliver clear, tailored demos built around what customers care about: Identity, Access, Activity, and Exposure, for security, governance, AI, and privacy teams.
• Lead proofs of value in customer Snowflake, Databricks, BigQuery, AWS, and Azure environments, from scoping and success criteria through readout. Our platform is built to surface first findings within hours.
• Explain product architecture with confidence to security and data teams: a scoped read-only identity, dedicated compute, and a stateless control plane, so data and controls stay in the customer’s environment.
• Show how the product governs AI, including in-store agents such as Snowflake Cortex and Databricks Genie, and connected agents that reach data through credentials.
• Position the product alongside the tools customers already run, such as catalogs, IAM, DSPM, and SIEM.
• Respond to security questionnaires and RFPs and support technical due diligence.
• Bring field feedback to Product and Engineering, and help sharpen our messaging and competitive positioning.
• Build demo assets, reference architectures, and enablement content.

What We’re Looking For

• 2 to 4 years in a customer-facing technical role, such as Solutions Engineer, Sales Engineer, Solutions Architect, or Customer Success Engineer.
• Working knowledge of a cloud data platform (Snowflake, Databricks, or BigQuery) and at least one major cloud (AWS, Azure, or GCP).
• Comfort with SQL and basic scripting.
• Excellent communicator who can explain technical concepts clearly to both technical and executive audiences.
• Curiosity about security, data governance, or AI, and the drive to learn fast.

Bonus Points / Preferred Qualifications

• Exposure to data security, DSPM, DLP, IAM, or cloud security.
• Experience running POCs or POVs against defined success criteria.
• Familiarity with SOC 2, GDPR, the EU AI Act, HIPAA, or PCI.
• Interest in AI governance and how agents access enterprise data.
• Experience at a security or data infrastructure startup.

Location & Work Arrangement

• Work arrangement: In office four days a week, where the best ideas happen in person.
• Base salary: $140,000 to $200,000, depending on experience.
• Variable compensation and equity: performance-based variable pay on top of base, plus equity.
• Benefits: health, dental, and vision with FSA/HSA, One Medical, Health Advocate, a 401(k), PTO, parental and bereavement leave, and team and company off-sites.