Head of Solutions Engineering, East
Leads a team of Solutions Engineers in pre-sales demos, POCs, and technical solutioning for data activation platform using data warehouses. Requires technical expertise in SQL/Python/JS, data platforms, and proven leadership in customer-facing technical roles.
About the job
Responsibilities
- Lead, mentor, and grow a team of Solutions Engineers fostering a collaborative, high-performing, and customer-centric environment.
- Partner strategically with Hightouch AEs throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements.
- Develop deep technical domain expertise in Data Activation, CDP, data warehousing (e.g., Snowflake, BigQuery, Databricks), and integration platforms, across various industries including financial services, retail, SaaS, and similar enterprises.
- Be accountable for the exceptional customer experience during the new revenue pilot and closing phases.
- Engage with customers daily to deeply understand their data activation needs and architect elegant solutions that leverage the Hightouch platform to its fullest potential.
- Design, develop, and maintain best-in-class playbooks, demo environments, and other tools to ensure successful and efficient POCs and technical validations.
- Collaborate effectively with AEs and Product Managers to identify and champion customer-specific feature requests and product enhancements.
- Drive strategic initiatives to continuously improve the efficiency, effectiveness, and scalability of the Solutions Engineering team.
Requirements
- Strong technical background with prior experience working directly with clients in a pre-sales or post-sales capacity to achieve business objectives, preferably within the data or SaaS space.
- Proven track record of successfully leading, managing, and developing technical teams.
- Prior experience developing with SQL, Python, JavaScript, and/or working with APIs for data integration.
- Extensive experience working in enterprise SaaS, cloud data platforms, or related industries in a technical capacity with end-customer engagement.
- A track record as a self-starter, highly motivated to independently troubleshoot and unblock complex technical issues in the field with customers.
- Exceptional presentation skills with a high degree of technical credibility when communicating with both executive stakeholders and front-line engineers.
- High level of comfort and proficiency communicating effectively across diverse internal and external organizations, including cross-functional collaboration with sales, product, and engineering.
- Intellectual curiosity, strong empathy for customer challenges, and the ability to operate with high velocity in a dynamic environment.
Nice to Haves
- Startup experience, particularly within a high-growth SaaS company.
- Previous experience as a technical go-to-market resource for a data-centric product.
- Experience scaling a Solutions Engineering or similar technical customer-facing team.
Compensation
- On-Target Earnings Range: $250,000-$280,000 annually
- Base Salary Range: $175,000-$196,000 annually
- Meaningful equity compensation in the form of ISO options with early exercise and a 10-year post-termination exercise window.
Skills
SQL, Python, JavaScript, APIs, Snowflake, BigQuery, Databricks, ETL, ELT, Cdp
Similar jobs
Solutions Architecture jobsLeads a team of forward deployed engineers responsible for architecting and delivering customer software deployments into production. The role requires engineering management experience, strong systems and edge/cloud architecture judgment, and credibility with enterprise customer leadership.
Leads technical customer engagements from pre-sales through production adoption, including onboarding, integration guidance, issue resolution, and product feedback. Requires a bachelor’s degree in a relevant field and at least three years of solutions engineering experience.
Leads customer-facing technical implementations for an AI-powered clinical trial platform, owning infrastructure setup, integrations, data mappings, and AI configuration through go-live. Requires 8+ years of technical implementation or related SaaS experience, strong enterprise integration skills, and U.S. East Coast residency.
Leads and scales the implementation function for enterprise and mid-market financial services customers, owning onboarding, deployment quality, adoption, and customer outcomes. Requires 7+ years in implementation or professional services and substantial experience building customer-facing teams.
Leads Celonis’s Oracle-focused solution and co-sell strategy, creating pipeline and revenue through executive customer engagement, Oracle field alignment, and complex partner-led enterprise sales motions. Requires 8+ years of enterprise software, alliance, consulting, or solution-led GTM experience and strong Oracle ecosystem expertise.