Top Solutions Engineer Jobs in San Francisco, CA

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.

Owns Braze’s customer Proof of Concept program across the Solutions organization. Designs POC methodology, resourcing models, operating cadence, risk frameworks, playbooks, reporting, and continuous-improvement processes. Tracks volume, cycle time, win rates, and utilization while partnering with Sales, Solutions Consulting, Product, and Engineering. This individual contributor role focuses on program-wide governance and operations rather than managing individual customer engagements.

Lead the technical aspects of enterprise sales opportunities from initial discovery through proof of concept and close. Present and demo Alkira’s networking platform, understand customer requirements, respond to RFPs, design solutions, troubleshoot networking and cloud environments, and guide deployments. Partner with Account Managers and Product Management to influence product strategy and deliver customer-requested features. The role requires deep enterprise networking, security, cloud connectivity, and customer-facing pre-sales expertise.

Architects and scales technical integrations for enterprise mortgage lending partners. Leads technical discovery, designs API and webhook architectures, guides REST API, authentication, and SSO implementations, supports sandbox testing and production readiness, troubleshoots distributed-system issues, and documents integration solutions. Partners with Product, Engineering, Compliance, and Partnerships to accelerate onboarding, improve workflows, identify product gaps, and develop reusable integration patterns and playbooks.

Build and lead Hex’s partner technical enablement function. Responsibilities include creating certification curricula, workshops, demos, sandbox environments, and technical collateral; onboarding and training consulting and SI partners; supporting strategic proof-of-value engagements and architecture reviews; handling technical objections; gathering product feedback; and tracking partner enablement metrics. The role requires strong SQL and Python skills, analytics workflow expertise, presentation ability, and approximately 25–30% travel.

Provides customer-facing cybersecurity presales expertise focused on SIEM and security operations solutions. Responsibilities include assessing customer needs, designing security architectures, demonstrating products, developing use cases and sales collateral, educating sales teams, and supporting cybersecurity services offerings. The role requires expertise in SIEM, SOAR, EDR/XDR, identity security, threat intelligence, security frameworks, and related integrations, along with strong presentation, communication, documentation, and relationship-building skills.

Partners with Sales and Success to lead technical discovery, tailored demos, proof-of-value initiatives, and solution design for B2B SaaS customers. Translates business requirements into workflow, integration, reporting, and automation recommendations; supports technical validation, data migration, security discussions, and RFPs; and builds custom dashboards and demo environments. Collaborates with Product and Engineering to resolve blockers and improve customer outcomes.

Engineer and support Microsoft identity environments, including Active Directory, Entra ID, ADFS, Conditional Access, B2C, federation, MFA, privileged access, PKI, and certificate management. Troubleshoot identity incidents and operational tickets, participate in on-call support, contribute to cross-tenant integrations, and partner with security and architecture teams. The role also involves project delivery, client consulting, mentoring, leadership, and promoting AI adoption.

Own technical strategy for mid-market and enterprise sales opportunities from discovery through close. Lead architecture discussions, product demonstrations, proof-of-value exercises, security reviews, integrations, and production-readiness evaluations. Analyze traffic and logs, design deployments across web, mobile, API, CDN, cloud, and hybrid environments, address technical objections, and translate customer feedback into product input. Mentor Solutions Engineers and create enablement content.

Lead technical discovery, demos, proofs of concept, onboarding, and implementations for Momentic’s AI-native testing platform. Partner with account executives and customer engineering teams to define requirements, integrate CI/CD pipelines, resolve technical blockers, explain product tradeoffs, and drive adoption. Provide customer feedback to product and engineering while improving demos, onboarding processes, troubleshooting, and technical tools.

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.

Lead technical sales engagements with agencies, partners, and enterprise customers. Responsibilities include technical discovery, architecture and solution design, tailored demonstrations, evaluations, pilot planning, validation, and technical close recommendations. Build relationships with technical and executive stakeholders, support complex buying committees, advise on AI, data activation, identity, and marketing workflows, and collaborate with Product, Engineering, and delivery teams to resolve technical risks and improve go-to-market execution.

Own the technical sales process for enterprise healthcare SaaS deals, partnering with account executives on discovery, tailored demos, proof-of-concept environments, integrations, security questionnaires, RFPs, and executive presentations. Engage health system leaders, translate clinical workflows into solutions, support business cases, certify sellers, document handoffs, and provide product feedback. The role is remote within the U.S. Central or Eastern time zones with occasional travel.

Partner with sales and customers to conduct technical discovery, design healthcare integrations and solutions, demonstrate products, create proposals and SOWs, respond to RFPs and security questionnaires, and support handoff to implementation. The role requires expertise in REST APIs and healthcare interoperability standards including HL7 v2 and FHIR, plus strong communication, presentation, and customer advisory skills. This is a remote US East Coast role with less than 5% travel.

Build customer-facing AI prototypes, API integrations, agent workflows, and demonstrations across Salesforce AI Labs products and enterprise systems. Identify high-value customer use cases, communicate technical and business value to diverse audiences, experiment with agentic architectures, measure outcomes, and create reusable reference architectures, integrations, environments, and playbooks. Feed technical findings and customer needs into product decisions.

Serve as the technical bridge between enterprise customers, Sales, Product, and Engineering. Lead technical discovery, integrations, demos, pilots, security reviews, and production handoffs for voice AI solutions. Build voice agents, prototypes, reusable demos, reference architectures, and documentation using APIs, webhooks, Python, and JavaScript. Translate customer feedback into product roadmap input while educating both technical and executive audiences.

Partners with sales teams as a technical and domain expert for Okta’s identity and security solutions. Responsibilities include understanding customer needs, delivering demonstrations and presentations, answering technical questions, planning proofs of concept, supporting events, managing territory activities, and providing product feedback. The role requires presales engineering experience, cloud and application development knowledge, security protocol and API expertise, strong communication skills, and typically 25% travel.

Own technical relationships with Neocloud and AI infrastructure customers. Lead discovery, architecture, validation, proofs of concept, demonstrations, executive briefings, objection resolution, and technical closes. Partner with Account Executives to develop account strategies, secure design wins, and coordinate engineering, product, and business-unit stakeholders. Design large-scale AI, data center, and service provider networks using advanced routing, network operating systems, compute, storage, and optical technologies.

Own technical relationships with global channel partners, enabling their presales and delivery teams to independently sell and implement PlayerZero. Lead discovery, demonstrations, proofs of concept, technical escalations, and early client engagements. Build partner certification programs, reference architectures, demo environments, playbooks, and delivery patterns. Coach partner engineers, support joint pursuits, track technical readiness and partner-led outcomes, and relay partner feedback to Product, Field Engineering, and Marketing.

Lead technical discovery, demonstrations, evaluations, implementations, and go-lives for PlayerZero customers. Configure integrations with repositories, CI/CD, ticketing, and observability systems; train users, drive adoption, measure outcomes, address technical and security questions, and identify expansion opportunities. Partner with Account Executives, Support, Customer Success, Product, and Engineering to connect technical capabilities to business value and deliver successful customer outcomes.

Leads technical pre-sales activities for complex enterprise opportunities across the Western Region. Responsibilities include discovery, solution architecture, demonstrations, workshops, proof-of-concept engagements, technical evaluations, RFI/RFP responses, and translating infrastructure, cloud, security, migration, and data protection requirements into business value. Partners with sales, product, engineering, and customer teams; identifies risks, supports technical decision-making, contributes enablement content, and mentors other Solutions Engineers.

Own technical customer engagements for Grafana Labs, partnering with Sales to qualify and close opportunities. Deliver product demonstrations, technical presentations, hands-on enablement, evaluations, and customer education. Provide product feedback, communicate competitive insights, and create documentation, blog posts, videos, and knowledge-base content. The role requires strong technical pre-sales experience, communication, judgment, collaboration, and the ability to work independently with international teams in a remote environment.

Own technical customer engagements for Grafana Labs, 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, blogs, videos, and knowledge-base materials. The role requires strong pre-sales expertise, technical communication, customer problem-solving, collaboration, and the ability to work autonomously with global remote teams.

Serve as a customer-facing technical product expert for Grafana Labs. Partner with Sales to qualify and close opportunities, deliver product demonstrations and technical presentations, conduct evaluations, communicate product value, and provide customer feedback to Product and Engineering. Create enablement materials including documentation, blog posts, videos, and knowledge-base content while helping customers solve observability challenges.