Top Solutions Engineer Jobs in San Francisco, CA

Lead customer-facing technical engagements for Databricks, including discovery, solution design, proofs of concept, platform demonstrations, architecture reviews, and technical strategy. Build production-quality solutions using data engineering, analytics, and machine learning technologies. Partner with account executives to expand platform adoption, explain competitive differentiation, and create reusable technical assets such as notebooks and reference architectures.

Lead technical discovery, solution design, demonstrations, and proof-of-concepts for enterprise and federal cybersecurity customers. Advise stakeholders on Kubernetes, container, cloud-native, software supply chain, and compliance security. Partner with sales, engineering, and product teams throughout complex sales cycles, influence product direction, create technical enablement content, and mentor junior Solutions Engineers.

Supports and enhances software, data, reporting, integration, and internal systems. Responsibilities include troubleshooting applications and data pipelines, maintaining SQL and Power BI environments, writing code, debugging APIs, supporting deployments and incident response, documenting solutions, working helpdesk tickets, and applying approved AI tools securely. Collaborates with engineers, analysts, developers, and business stakeholders to resolve issues, automate work, improve systems, and reduce operational burden.

Lead pre-sales solution design and demonstrations for hospitality revenue management. Engage customers and executives, architect product solutions, support deal strategy, RFx/security responses, and partner with Sales, Product, Integrations, and Services to deliver measurable commercial value.

Own presales discovery, solution architecture, technical demos, prototypes, proof-of-concept definition, technical evaluations, RFP responses, and security questionnaires for enterprise AI customers. Translate customer workflows and technical requirements into validated architectures and measurable business value, manage implementation risks, and provide accurate delivery handoffs. Convert field insights into reusable reference architectures, demos, and product improvements.

Partners with sales and merchants to identify pain points, design technical solutions, conduct discovery sessions and demos, and guide complex payment integrations from pre-sales through go-live. Translates business and technical requirements, advises developers on SDK integration best practices, manages implementation risks and stakeholders, and provides product feedback to improve Primer’s payments platform.

Own and improve Hinge Health’s corporate IT infrastructure, including endpoint management, networking, identity, SaaS platforms, automation, and cloud-connected systems. Manage Jamf across a multi-OS environment, resolve complex technical escalations, improve provisioning and access workflows, and implement secure AI-enabled internal tools. Lead infrastructure improvements, migrations, office technology projects, documentation, mentoring, and operational practices while balancing security, reliability, governance, and employee experience.

Lead technical pre-sales for an AI automation platform, partnering with account executives on discovery, architecture, demos, technical evaluations, security reviews, and executive briefings. Design integrations, scope pilot use cases, prove customer value, and hand off deployments. Build the foundational solutions architecture toolkit, including demos, reference architectures, evaluation frameworks, FAQs, and competitive positioning, while relaying customer requirements and product gaps to engineering.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Serve as a customer-facing technical advisor helping organizations adopt Infisical. Responsibilities include running proofs of concept, guiding onboarding and implementations, leading technical demos and discovery calls, supporting enterprise customers, hosting webinars, improving documentation, gathering customer feedback, and influencing product and UX roadmaps.

Leads technical customer engagements for Databricks strategic accounts, including discovery, solution architecture, platform demonstrations, proofs of concept, and technical strategy. Builds production-quality data solutions across engineering, analytics, and machine learning; presents technical differentiation; develops reusable assets; and partners with Account Executives to expand platform adoption and consumption.

Conduct customer discovery, design and demonstrate tailored fintech solutions, and provide technical expertise throughout sales cycles. Support RFIs and RFPs, propose configurations and integrations, address objections, and explain complex technology to diverse audiences. Collaborate with sales, product, management, and customer success teams to achieve business goals, maintain technical expertise and certifications, and travel occasionally across the US and Canada.

Serve as the technical lead in the pre-sales process for aviation software prospects. Responsibilities include technical discovery, tailored product demonstrations, proof-of-concept ownership, RFP responses, API and integration discussions, demo environment maintenance, objection handling, and communicating customer feedback to Product and Engineering. The role also develops technical collateral, supports sales enablement, and helps onboard Sales Executives.

Designs and analyzes mechanical payloads and assemblies using MBSE, CAD, thermal and structural FEA. Responsibilities include material selection, environmental ruggedization, payload integration, manufacturing documentation with GD&T, and support for vibration, thermal, and environmental testing. The role also contributes to system safety, requirements definition, reverse engineering, and system-level integration for defense programs.

Own the technical sales process from discovery through production, including demos, solution architecture, closing, and customer onboarding. Architect AI agent and browser automation systems, debug SDK and MCP integrations, guide customers through concurrency, observability, and failure modes, and relay customer needs to engineering and product. The role also involves creating technical content and managing complex, cross-functional enterprise deals.

Own technical customer engagements for Grafana Labs’ acquisition sales team. Partner with Sales to deliver product demonstrations, presentations, technical evaluations, and value propositions; qualify and close opportunities; communicate customer and competitive insights to Product and Engineering; and create documentation, blogs, videos, and enablement materials.

Own technical customer engagements for Grafana Cloud, partnering with Sales to qualify and close opportunities. Deliver product demonstrations, technical presentations, evaluations, and enablement while communicating customer feedback to Product and Engineering. Create documentation, blog posts, videos, and knowledge-base content. The role requires strong technical pre-sales expertise, customer communication, collaboration, judgment, and the ability to solve observability and open-source technology challenges in a remote global environment.

Partner with account executives in enterprise pre-sales by addressing technical requirements, delivering customized demonstrations, building UAT environments, managing proof-of-concept exercises, conducting architecture and security reviews, and scoping solutions for implementation handoff. The role requires collaborating across sales, product, engineering, and professional services while supporting fintech and banking customers with identity, fraud, credit, and compliance solutions.

Lead Atlassian’s analyst relations program for AI Software Delivery solutions. Build relationships with industry analysts, coordinate responses for major evaluations, translate research into market intelligence, advise product and marketing teams on positioning, and improve analyst engagement through new formats and AI-powered workflows.

The Solutions Engineer supports enterprise sales by demonstrating Cribl, answering technical questions, helping customers during proof-of-concept sessions, and identifying telemetry, IT operations, and security use cases. The role requires customer-facing technical storytelling, collaboration with sales and support teams, documentation of use cases, and up to 30% travel. The position is remote-first but may require occasional work outside standard hours across time zones.

Founding Solutions Engineer responsible for owning the full sales cycle, conducting product demos and technical deep-dives, explaining AI-native compliance, supporting pilot implementations, translating customer feedback into product requirements, and building the company’s sales motion from scratch.

Designs and deploys AI/HPC networking infrastructure for customers, including Linux GPU systems, network fabrics, rack layouts, automation, monitoring, and data center upgrades. Supports service reliability, performance optimization, and lifecycle operations. Partners with sales, engineering, support, and customers on solution design, requirements, deployments, product feedback, technical content, training, and roadmap planning. Requires strong data center networking, solution architecture, communication, and customer-facing skills, with up to 20% domestic and international travel.

Serve as a cybersecurity solutions expert supporting pre-sales and post-sale activities. Conduct technical discovery, customized product demonstrations, security architecture design, compliance advisory, implementation guidance, and security optimization. Advise customers on email security, Microsoft 365 defense, SIEM/MDR, IAM, MFA, vulnerability management, and regulatory frameworks. Partner with sales and product teams to translate security requirements into business value and inform product enhancements.

Pre-Sales Solutions Engineer responsible for supporting enterprise sales through technical expertise, customer discovery, and proof-of-concept development using the Omni analytics platform. The role involves presenting solutions, enabling customers on their data, transitioning trials to successful implementations, collaborating with post-sales teams and partners, and providing feedback to Product, Design, and Engineering. Strong SQL, business intelligence, enterprise analytics, client-facing, and consultative communication skills are required.

Provide technical expertise during pre-sales engagements for end-of-life open source software and security products. Demonstrate products, answer technical questions, support strategic customer relationships, represent the company at industry events, create sales documentation, and coordinate with engineering, marketing, partners, and customer success teams. The role requires full-stack development experience and the ability to communicate effectively with both executives and technical audiences.