Manager, Sales Engineering Specialists (Remote)

Fivetran; United States; Remoto; USD 212.000 - 294.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Paid time off

RSU stock grants

Professional development

Cell phone stipend

Mental health resources

Descrizione del lavoro

Fivetran is seeking a Manager of Sales Engineering Specialists to lead a team of data platform experts and partner with global Sales to accelerate complex enterprise deals. You will focus on AI-enabled workloads, architecture guidance, and cross‑functional collaboration with Product and Engineering.

You will hire and grow talent, ensure timely customer guidance, and drive adoption after the sale while keeping teams ahead of evolving data platform requirements.

Competenze

• Experience leading a Sales Engineering or technical team.
• Strong ability to communicate complex data concepts to buyers.
• Proven track record in enterprise sales support and deal velocity.
• Deep knowledge of data platforms, warehouses, and AI use cases.
• Experience with cloud providers and modern data architectures.
• Ability to guide product and engineering priorities with customer evidence.

Mansioni

• Lead a team of specialists across data platform domains to align with Sales, Product, and Engineering.
• Embed specialist functions with Global Sales to unblock complex enterprise deals.
• Streamline engagement, prioritization, and measurement to speed deals.
• Perform architecture reviews and participate in critical customer calls.
• Provide timely guidance during evaluations and escalations.
• Build strong internal partnerships with Product, Engineering, and Sales teams.
• Coach team members for peak performance and future roles.
• Share knowledge across the field through enablement and documentation.

Conoscenze

People leadership

Technical depth

Cloud architecture

AI fluency

Technical sales acumen

Communication skills

Strumenti

dbt

SQL

SAP

Snowflake

BigQuery

Databricks

AWS

GCP

Azure

Descrizione del lavoro

Manager, Sales Engineering Specialists

Location: Remote, California, United States, AMER

Department: Sales Department

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for aManager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform.

You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow.

This is a full-time position based in the US.

Technologies You’ll Use

Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure

What You’ll Do

• Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering.
• Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale.
• Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured.
• Execute hands‑on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value.
• Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations.
• Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams.
• Coach team members to maximize performance and efficiency, and prepare them for future roles.
• Ensure the team shares specialist knowledge across the field through enablement and documentation.
• Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance.

Skills We’re Looking For

• People Leadership:Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred.
• Technical Depth:Hands‑on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts.
• Cloud and Data Architecture:Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses.
• AI Fluency:Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work.
• Technical Sales Acumen:Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process.
• Communication Skills:Best‑in‑class ability to explain complex data and AI concepts to non‑technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence.

Bonus Skills

• Prior experience at an analytics, ETL, BI, or open‑source data software company
• Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure
• Experience managing distributed teams across multiple regions and time zones
• Hands‑on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval

On Target Earning $212,004.29 — $294,450.54 USD

Perks and Benefits

• 100% employer-paid medical insurance*
• Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team‑building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self‑guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of ourcore values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us inForbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world‑class company to better serve our customers, our people and our communities.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your