Top Solutions Engineer Jobs in San Francisco, CA

Develop and sell enterprise ITSM solutions by partnering with sales teams and channel partners. The role involves understanding customer needs, mapping business and technical requirements to Atlassian capabilities, delivering demonstrations and presentations, supporting proofs of concept, guiding sales cycles, and collaborating cross-functionally to improve customer outcomes and product offerings.

Supports enterprise sales by partnering with Account Executives, leading discovery, delivering tailored demonstrations, translating customer challenges into solutions, and influencing executive buying decisions. The role requires expertise in value-based selling, solutions engineering, complex enterprise sales cycles, APIs, integrations, and technical solution design, while collaborating with Product, Engineering, Customer Success, and Marketing. Travel of 30% or more is required.

Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.

Partners with sales teams to support mid-market customers throughout the pre-sales cycle. Conducts discovery, identifies business problems, maps needs to Atlassian products, leads customized value-based demonstrations, guides technical decisions, expands cross-product opportunities, and builds executive relationships. Tracks customer feedback and competitive intelligence, collaborates with product management, and continuously develops product, solution, platform, and sales expertise.

Lead strategic presales architecture and technical engagements for State, Local, and Higher Education customers across North America. Design secure hybrid integration and modernization strategies, support RFPs and public procurement evaluations, lead proofs of value, and communicate with technical and executive stakeholders. Coordinate internal specialists and partners across iPaaS, API Management, master data management, and AI initiatives while addressing public-sector compliance, data sovereignty, runtime infrastructure, and network security requirements.

Designs and deploys secure, scalable solutions for military and operational customers. Responsibilities include technical discovery, infrastructure validation, network configuration, deployment readiness, security accreditation support, API and data integrations, technical demonstrations, pilot deployments, and translating field experience into reusable implementation patterns. The role partners with Sales, Platform Engineering, SRE, Cybersecurity, Product, and customers, and requires 30–50% travel.

Presents Pinecone’s AI database technology to enterprise prospects, supports sales cycles from demonstrations through proofs of concept and implementation, and translates customer business needs into technical solutions. Collaborates with sales, partners, Product Management, Engineering, and Marketing while maintaining expertise in databases, data warehouses, analytics, ETL, cloud platforms, and competitive technologies.

Demonstrate and deploy autonomous drone dock solutions for correctional facilities. Conduct discovery, site assessments, product demonstrations, trials, proofs of concept, and customer deployments while integrating systems with facility security operations. Support FAA airspace approvals, cybersecurity reviews, and operational planning. Gather customer feedback, develop success plans and SOPs, and collaborate with sales, engineering, product, and customer success teams. The role requires extensive travel, correctional security expertise, drone knowledge, and the ability to operate in high-pressure secure environments.

Partner with account executives as a pre-sales technical expert supporting Google Enterprise and subsidiaries. Build relationships with technical stakeholders, align customer and Cisco designs, translate requirements into engineering documents, support feature planning and product development, prepare sales proposals, and present technical demonstrations. The role focuses on complex global network infrastructure and influencing Cisco hardware and software roadmaps.

Advise Northern California public sector customers on Cisco solutions across networking, hybrid cloud, AI infrastructure, and cybersecurity. Partner with account executives, specialists, and regional partners to define architectures, conduct demonstrations and proofs of concept, develop technical account plans, advance deals, and drive adoption. The role requires customer-facing technical leadership, pre-sales expertise, local travel, and residence or relocation to Northern California.

Leads technical sales engagements for Cisco and Splunk solutions across customers and partners. Translates business needs into technical requirements, designs and presents cross-architecture solutions, leads demonstrations, manages sales resources, develops strategic customer plans, and influences executives. Drives demand generation, competitive differentiation, partner enablement, and revenue growth while advising sales teams and aligning stakeholders.

Lead technical discovery and solutioning for pre-sales opportunities, translating customer architectures and goals into integration plans, sequencing, risks, and tradeoffs. Partner with account executives, customer success, technical teams, and Product to accelerate technical alignment, support expansion, build reusable discovery playbooks and reference architectures, and maintain product knowledge resources. The role also involves post-sale solutioning, customer enablement, technical demos, and feeding recurring customer insights into product roadmap decisions.

Serve as the technical and domain expert for Okta’s corporate and new-business sales teams. Conduct discovery, product demonstrations, technical presentations, and proof-of-concept engagements. Address customer and partner questions, advise on identity solutions, collaborate with engineering and product management, support marketing events, analyze competitors, and help achieve territory sales goals. Requires strong IAM expertise, software development experience, cloud deployment knowledge, security fundamentals, communication skills, and approximately 25% travel.

Provides pre-sales technical support by discovering customer needs, designing Boomi solutions, delivering presentations and demonstrations, developing proofs of concept, supporting RFI/RFP responses, and performing advanced systems integration. Collaborates with account executives and internal specialists to build solutions involving APIs, enterprise messaging, iPaaS, integration architecture, LLMs, prompt engineering, and AI platform integrations.

Own technical customer engagements for Tolmo’s AI-powered cybersecurity platform. Conduct discovery, deliver tailored security demos, lead proofs of value, explain findings to technical and executive audiences, respond to security questionnaires and RFPs, coordinate pentesting campaigns, and relay customer feedback to product and engineering. Build repeatable proof-of-value playbooks and solutions engineering assets in an early-stage, high-ownership environment.

Designs and implements customer solutions for a freight-loading dock sensor platform. Responsibilities include mapping logistics processes, supporting hardware and software deployments, optimizing sensor placement, identifying automation and integration opportunities, conducting ROI analyses, delivering product demonstrations, managing demo environments, and advising clients and partners on complex technical solutions. The role requires supply chain systems knowledge, strong customer-facing communication, and approximately 50% travel.

Own the technical side of Anrok’s partner ecosystem by developing integration strategies, enabling partner engineering and sales teams, supporting embedded partnerships, maintaining prebuilt integrations, and identifying new connector opportunities. Build technical relationships with billing, payment, ERP, accounting, and consulting partners; create documentation, demos, reference architectures, and enablement materials; and translate ecosystem needs into product and engineering roadmap input. Some travel to partner sites and industry events is expected.

Drive customer adoption and production deployment of Black Forest Labs’ generative AI models. Partner with Sales, research, engineering, and business development teams on pre-sales, onboarding, technical demonstrations, prompting, evaluation, fine-tuning, and integrations. Guide customers through complex technical implementations, create enablement materials and self-service tools, contribute to open-source inference and fine-tuning codebases, and relay customer feedback to improve products and model capabilities.

Partners with account executives and channel partners to design Cisco solutions, develop joint go-to-market strategies, enable partner sales engineers through training and workshops, support strategic deals, position Cisco’s portfolio, and advocate for partner needs. The role requires broad networking expertise, executive influence, technical pre-sales experience, professional networking certification, Bay Area residency or relocation, and travel up to 25%.

Partners with Account Executives to support sales opportunities through technical expertise, customized solution design, product demonstrations, presentations, RFP responses, and prospect support. Maintains demo environments and knowledge resources, troubleshoots technical issues, documents customer requirements, and provides product feedback to Product Management. Also supports evaluations, customer escalations, and newer Solutions Engineers while managing multiple opportunities independently.

Owns the technical win for complex enterprise deals with banks, fintechs, lenders, and other regulated institutions. Responsibilities include designing integration architectures, leading proofs of concept and competitive evaluations, managing security and vendor-risk reviews, building executive business cases, supporting sales cycles, ensuring post-sales handoffs, informing product strategy, and mentoring Solutions Engineers.

The Senior Solutions Engineer partners with sales teams and customers to qualify opportunities, conduct technical discovery, deliver presentations and demonstrations, run proofs of value, and design data and solution architectures. The role advises stakeholders on Neo4j graph technology, integrates solutions with cloud or on-premise environments, supports sales cycles and customer adoption, communicates feedback internally, and participates in conferences and account-based marketing events.

Provides technical leadership in pre-sales engagements for data and AI platforms. Designs big data architectures, develops proofs of concept, validates integrations, advises customers on implementation and competitive solutions, and supports data engineering, data science, machine learning, and SQL workflows. Collaborates with sales, product, solutions architecture, and customer teams while promoting Databricks technologies and open-source projects.

Leads and scales a customer-embedded Forward Deployed Solutions Engineering organization focused on AI, cloud architectures, enterprise data platforms, and mission-critical systems. Builds and mentors technical teams, partners with C-level customers and Cisco/Splunk leadership, translates deployment insights into product innovation, and delivers prototypes and technical solutions that accelerate adoption, retention, and expansion.

Build customer-specific AI demonstrations and pilots using operational data. Lead technical discovery, data mapping, validation, transformation, integration troubleshooting, and solution scoping. Collaborate with sales, Product, and Engineering to explain capabilities, identify technical needs, and support executive, operational, and IT stakeholder engagements. Convert successful demonstrations and integration approaches into reusable playbooks.