Job Closed
This listing is no longer active.
Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
Manager, Solution Engineering
Location
California + 2 moreAll locations: California | New York | Texas
Posted
58 days ago
Salary
$189K - $248.1K / year
Seniority
Lead
Job Description
Manager, Solution Engineering
Snowflake
• Build and lead a team of solution engineers who serve as our core product introduction, evaluation and education experts • Partner with sales leadership to achieve regional quota targets, our goals and ensure relationships are built • Work alongside revenue leaders to set the go-to-market strategy for territory • Effectively escalate customer feedback and product obstacles/gaps to represent the team’s needs to executive staff • Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions • Collaborate and maintain a close working relationship with product, engineering, sales, marketing and services • Play an active role in sourcing and screening potential candidates and managing the interview process • Act as a player/coach working with your team on and delivering compelling presentations to customers and prospects
Job Requirements
- 8+ years of industry experience in a pre-sales or engineering capacity with 2+ years of direct front line management experience (hiring, training and retaining top talent).
- Industry expertise within Data Warehousing, Data Engineering, Data Science, Business Intelligence, Data Analytics and/or Cloud Computing.
- Snowflake experience strongly preferred
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to connect a customer’s specific mission problems and Snowflake’s solutions.
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Benefits
- Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
- Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
Related Guides
Related Categories
Related Job Pages
More Solutions Engineer Jobs
Agentic Architect
CaylentCaylent is an information technology company offering cloud-native services and expertise that helps customers “harness the power” of Amazon Web Services (AWS) with state-of-th
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between. At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! About This Role Caylent’s Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic. The Agentic Architect is the strategic and architectural lead on AI engagements. Paired with a Forward Deployed Engineer (FDE) who handles hands-on implementation, you own the engagement arc: shaping AI strategy, designing operating models, mapping AI outcomes to business value, and guiding executive stakeholders through adoption. You lead the room — the FDE builds what you architect. This is a cross-functional role. You engage across lines of business, not just engineering, connecting AI initiatives to the outcomes that matter to each part of the organization. Every engagement is anchored to Anthropic’s platform and focused on real AI adoption outcomes. Your clients span PE portfolio companies, growth-stage software businesses, and enterprise organizations. You are the strategic face of Caylent from kickoff through handoff. What You’ll Do Strategy and Architecture - Own AI engagements end-to-end as the strategic lead, from discovery through executive handoff, partnered with an FDE who drives implementation - Run structured discovery across engineering, product, and business stakeholders to map organizational context, AI readiness, and strategic goals across lines of business - Design AI operating models that define how the organization adopts, governs, and scales AI. Not just within engineering, but across the business - Define AI outcome maps that tie initiatives to measurable business results: efficiency gains, revenue impact, risk reduction, and time-to-value - Lead AI maturity assessments and architect near-term and long-term adoption roadmaps aligned to Anthropic’s platform capabilities - Facilitate executive workshops and enablement sessions for audiences ranging from engineering teams to C-suite leaders - Deliver executive presentations to CTOs, VPs of Engineering, and line-of-business leaders covering current-state findings, ROI projections, and strategic recommendations - Direct FDE work on Claude Code tooling, prompt architecture, and workflow automation. You set the technical direction, the FDE executes Client Relationship and Business Development - Identify expansion opportunities across lines of business. AI strategy work naturally surfaces adjacent needs in departments beyond the initial engagement - Shape follow-on scope throughout the engagement: by Week 1, you should have a working hypothesis for the next engagement; by the final on-site block, you present it - Build executive relationships that position Caylent as a long-term AI strategy partner, not a one-time vendor - Attend on-site for the final Catalyst block: readout, workshop, and executive presentation Internal Contribution - Contribute reusable strategy frameworks, delivery artifacts, and methodology improvements back into the practice at engagement close - Lead AI strategy engagements spanning multiple teams, platforms, and business functions - Collaborate with FDEs to refine the architect-engineer delivery model and improve handoff patterns What We’re Looking For Required - 8+ years of software development or technical architecture experience across varied stacks, including hyperscaler environments - 3+ years in engineering leadership, technical consulting, solutions architecture, or a combination - Demonstrated ability to engage across lines of business. You can talk to a VP of Engineering about CI/CD and a COO about operational efficiency in the same week - Experience designing or advising on AI operating models, technology adoption strategies, or digital transformation programs - Hands-on familiarity with Claude Code or equivalent AI-assisted development tools — you don’t need to configure them daily, but you need to speak the language credibly and direct an FDE’s work - Certified Claude Architect - Experience running structured stakeholder interviews, discovery sessions, and facilitated workshops with both technical and business audiences - Strong executive communication: writing and presenting to CTOs, VPs of Engineering, and line-of-business leaders - Experience delivering professional services engagements, including scope management, deliverable ownership, and client advisory - Working knowledge of CI/CD pipelines, DevOps practices, and modern software development workflows Preferred - Experience mapping AI initiatives to business outcomes (revenue, efficiency, risk, time-to-value) with executive-level ROI framing - Familiarity with PE portfolio company environments and board-level communication - Background in solutions architecture, platform engineering, or enterprise technology strategy - Experience with LLM prompt engineering, agentic AI workflow design, or AI product development - Direct experience with Claude Code’s extensibility model - Familiarity with SDLC maturity frameworks or workforce analytics (DORA, DevEx) - Experience designing and facilitating workshops for mixed audiences — engineers, product managers, and business stakeholders Who Thrives Here The Agentic Architects who do well here are a specific profile: - Sat in the seat. You’ve led engineering teams or technology strategy inside a product company and understand the pressures executives navigate when adopting AI. Clients can tell. - Thinks across the business. You don’t stop at engineering. You see how AI impacts operations, product, and go-to-market — and you can have those conversations with the people who own them. - Knows when to slow down. You surface risks before committing to an approach. When the client’s definition of the work is wrong, you say so. - Closes the next engagement. The final week of a Catalyst is a conversion window. You treat it that way — and the cross-LOB relationships you’ve built give you multiple paths to expand. - Makes the methodology better. Every engagement teaches you something. You feed it back into the practice rather than keeping it in your head. - Earns trust at the executive level. You’re as comfortable presenting an AI operating model to a COO in the morning as reviewing prompt architecture with your FDE that afternoon. This is a poor fit if you want someone else to handle the sales motion or prefer execution-only roles. You are accountable for both strategic delivery quality and account expansion. Why This Team - Ground floor of something real: this BU is early, well-resourced, and anchored to Anthropic. You're writing the playbook, not inheriting one - Own the methodology: you are shaping how AI-DLC enablement gets delivered. Every engagement you run improves the one after it - Proximity to the market: your clients are PE portcos, enterprise engineering orgs, and Anthropic-referred customers at the frontier of AI adoption - Revenue upside: Agentic Architects who drive account expansion earn on revenue generated, not just delivery margin - AI-native by default: this team uses AI in how it works. Specification-First Engineering is how we move from prototype to production fast - Outcomes, not hours: advancement tied to delivery performance and account growth, not utilization Benefits - Medical insurance for you and eligible dependents - 401k plan with company match up to 4% and immediate vesting - Competitive phantom equity - Company-issued laptop - Dental and vision insurance - Term disability and life insurance - Flexible Spending Account - Equipment and office stipend - Annual stipend for learning and development - Unlimited paid time off - 10 paid holidays This role may require up to 50% travel, depending on business needs. NOTE: We’re unable to provide visa sponsorship now or at any time in the future. Base Salary Range: The expected base salary range for this position is $150,000 - $167,500 per year, commensurate with experience and qualifications. Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance. NOTE: We’re unable to provide visa sponsorship now or at any time in the future. At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner. If you have any questions, please contact talent@caylent.com Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.
Agentic Architect
CaylentCaylent is an information technology company offering cloud-native services and expertise that helps customers “harness the power” of Amazon Web Services (AWS) with state-of-th
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between. At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! About This Role Caylent’s Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic. The Agentic Architect is the strategic and architectural lead on AI engagements. Paired with a Forward Deployed Engineer (FDE) who handles hands-on implementation, you own the engagement arc: shaping AI strategy, designing operating models, mapping AI outcomes to business value, and guiding executive stakeholders through adoption. You lead the room — the FDE builds what you architect. This is a cross-functional role. You engage across lines of business, not just engineering, connecting AI initiatives to the outcomes that matter to each part of the organization. Every engagement is anchored to Anthropic’s platform and focused on real AI adoption outcomes. Your clients span PE portfolio companies, growth-stage software businesses, and enterprise organizations. You are the strategic face of Caylent from kickoff through handoff. What You’ll Do Strategy and Architecture - Own AI engagements end-to-end as the strategic lead, from discovery through executive handoff, partnered with an FDE who drives implementation - Run structured discovery across engineering, product, and business stakeholders to map organizational context, AI readiness, and strategic goals across lines of business - Design AI operating models that define how the organization adopts, governs, and scales AI. Not just within engineering, but across the business - Define AI outcome maps that tie initiatives to measurable business results: efficiency gains, revenue impact, risk reduction, and time-to-value - Lead AI maturity assessments and architect near-term and long-term adoption roadmaps aligned to Anthropic’s platform capabilities - Facilitate executive workshops and enablement sessions for audiences ranging from engineering teams to C-suite leaders - Deliver executive presentations to CTOs, VPs of Engineering, and line-of-business leaders covering current-state findings, ROI projections, and strategic recommendations - Direct FDE work on Claude Code tooling, prompt architecture, and workflow automation. You set the technical direction, the FDE executes Client Relationship and Business Development - Identify expansion opportunities across lines of business. AI strategy work naturally surfaces adjacent needs in departments beyond the initial engagement - Shape follow-on scope throughout the engagement: by Week 1, you should have a working hypothesis for the next engagement; by the final on-site block, you present it - Build executive relationships that position Caylent as a long-term AI strategy partner, not a one-time vendor - Attend on-site for the final Catalyst block: readout, workshop, and executive presentation Internal Contribution - Contribute reusable strategy frameworks, delivery artifacts, and methodology improvements back into the practice at engagement close - Lead AI strategy engagements spanning multiple teams, platforms, and business functions - Collaborate with FDEs to refine the architect-engineer delivery model and improve handoff patterns What We’re Looking For Required - 8+ years of software development or technical architecture experience across varied stacks, including hyperscaler environments - 3+ years in engineering leadership, technical consulting, solutions architecture, or a combination - Demonstrated ability to engage across lines of business. You can talk to a VP of Engineering about CI/CD and a COO about operational efficiency in the same week - Experience designing or advising on AI operating models, technology adoption strategies, or digital transformation programs - Hands-on familiarity with Claude Code or equivalent AI-assisted development tools — you don’t need to configure them daily, but you need to speak the language credibly and direct an FDE’s work - Certified Claude Architect - Experience running structured stakeholder interviews, discovery sessions, and facilitated workshops with both technical and business audiences - Strong executive communication: writing and presenting to CTOs, VPs of Engineering, and line-of-business leaders - Experience delivering professional services engagements, including scope management, deliverable ownership, and client advisory - Working knowledge of CI/CD pipelines, DevOps practices, and modern software development workflows Preferred - Experience mapping AI initiatives to business outcomes (revenue, efficiency, risk, time-to-value) with executive-level ROI framing - Familiarity with PE portfolio company environments and board-level communication - Background in solutions architecture, platform engineering, or enterprise technology strategy - Experience with LLM prompt engineering, agentic AI workflow design, or AI product development - Direct experience with Claude Code’s extensibility model - Familiarity with SDLC maturity frameworks or workforce analytics (DORA, DevEx) - Experience designing and facilitating workshops for mixed audiences — engineers, product managers, and business stakeholders Who Thrives Here The Agentic Architects who do well here are a specific profile: - Sat in the seat. You’ve led engineering teams or technology strategy inside a product company and understand the pressures executives navigate when adopting AI. Clients can tell. - Thinks across the business. You don’t stop at engineering. You see how AI impacts operations, product, and go-to-market — and you can have those conversations with the people who own them. - Knows when to slow down. You surface risks before committing to an approach. When the client’s definition of the work is wrong, you say so. - Closes the next engagement. The final week of a Catalyst is a conversion window. You treat it that way — and the cross-LOB relationships you’ve built give you multiple paths to expand. - Makes the methodology better. Every engagement teaches you something. You feed it back into the practice rather than keeping it in your head. - Earns trust at the executive level. You’re as comfortable presenting an AI operating model to a COO in the morning as reviewing prompt architecture with your FDE that afternoon. This is a poor fit if you want someone else to handle the sales motion or prefer execution-only roles. You are accountable for both strategic delivery quality and account expansion. Why This Team - Ground floor of something real: this BU is early, well-resourced, and anchored to Anthropic. You're writing the playbook, not inheriting one - Own the methodology: you are shaping how AI-DLC enablement gets delivered. Every engagement you run improves the one after it - Proximity to the market: your clients are PE portcos, enterprise engineering orgs, and Anthropic-referred customers at the frontier of AI adoption - Revenue upside: Agentic Architects who drive account expansion earn on revenue generated, not just delivery margin - AI-native by default: this team uses AI in how it works. Specification-First Engineering is how we move from prototype to production fast - Outcomes, not hours: advancement tied to delivery performance and account growth, not utilization Benefits - 100% remote work - Equitable Life - Hybrid Plan - 100% Premium Coverage for the employee and dependents - Competitive phantom equity - Long-Term Disability - 4% Pension match (employer contribution) - Unlimited Vacations - Sick Leave - Paid Holidays - Parental Leave - Paid for exams and certifications - Peer bonus awards - State of the art laptop and tools - Equipment & Office Stipend - Individual professional development plan - Annual stipend for Learning and Development - Work with an amazing worldwide team and in an incredible corporate culture This role may require up to 50% travel, depending on business needs. Base Salary Range: The expected base salary range for this position is CAD $163,000 - $182,000per year, commensurate with experience and qualifications. Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance. NOTE: We’re unable to provide visa sponsorship now or at any time in the future. At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner. If you have any questions, please contact talent@caylent.com Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.
Senior Solution Architect – Enterprise Networking
Core BTSCore BTS is an award-winning IT consulting firm and managed service provider dedicated to problem solving.
• Lead the design and implementation of complex network solutions, working from project Statements of Work (SOWs). This includes creating detailed network diagrams, specifications, and implementation plans, and overseeing the execution of those plans. • Provide expert-level technical leadership and guidance to project teams, including Solution Architects, Senior and Level 1 Network Consultants. Ensure projects are completed on time, within budget, and meet or exceed client expectations. • Develop and present high-level network architecture designs, clearly illustrating data flow and the interaction of various network components. • Proactively identify and resolve complex network issues, providing innovative solutions and escalating only exceptionally challenging problems to Principal Architects. • Develop and maintain comprehensive network documentation, including diagrams, configurations, and troubleshooting guides, serving as a valuable resource for the team. • Effectively communicate complex technical concepts to both technical and non-technical audiences, adapting presentations to suit different stakeholders. • Collaborate effectively with project managers and clients, providing regular updates, actively managing expectations, and ensuring a strong alignment between business needs and technical solutions. • Maintain a strong understanding of current networking technologies and industry best practices. Proactively identify and propose advanced solutions for client needs, considering both technical and business implications. • Adhere to established network standards, procedures, and safety regulations, ensuring project completion aligns with security and compliance requirements. • Actively participate in internal knowledge sharing, contributing significantly to process improvement initiatives and mentoring less experienced team members. • Serve as a technical mentor and guide for junior-level architects and engineers, fostering professional development and knowledge transfer. • Other duties as assigned and directed.
Solutions Engineer
TurnkeyTurnkey, founded in 2022 and headquartered in New York, New York, provides secure and scalable crypto infrastructure focused on embedded wallets and on-chain transaction automation
• Work directly with customers in the pre-sales phase to evaluate their use cases and guide technical decision-making • Design and prototype lightweight integration examples using Turnkey's APIs and SDKs • Join technical calls to answer questions around security architecture, enclave infrastructure, and developer workflows • Develop integration plans for customers and collaborate with the Customer Support team in their implementation • Own post-sales integration work alongside customers from kickoff through go-live • Contribute to customer-facing materials: sample code, technical diagrams, implementation guides, whitepapers • Collaborate with Sales, Product, and Engineering to scope integration paths and unblock deals • Assist in completing security, infrastructure, and architecture due diligence forms • Capture technical feedback and relay product feature gaps back to the internal team • Contribute to the ongoing improvement of our developer experience, including flagging gaps in documentation or SDKs


