Manager, Solutions Engineering, MM - 1Password

About 1Password

At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today.

The Role

As the Manager, Solutions Engineering - Mid Market, you’ll lead a team supporting commercial customers and channel-led opportunities across North America. You’ll help customers solve complex identity and security challenges by guiding technical discovery, shaping solutions, and partnering with Sales throughout the buying process.

You’ll work closely with Sales, Channel, Product, Marketing, Customer Success, and Engineering to deliver thoughtful customer experiences and strengthen 1Password’s position as a trusted security partner. Reporting to the Senior Manager, Sales Engineering, this role is open to candidates based in the United States or Canada.

Note: All go-to-market roles will have an in-person onboarding in Toronto. In leadership roles, you can expect to travel once per month on average.

What We're Looking For

• Background: Experience in Solutions Engineering, Sales Engineering, or a related customer-facing technical consulting role supporting complex, consultative sales cycles.
• Leadership: Experience leading or mentoring technical teams, with the ability to coach technical storytelling, executive communication, objection handling, and business value alignment.
• Channel Experience: Strong channel experience working with Managed Service Providers (MSPs), Value-Added Resellers (VARs), distributors, and technology alliance partners.
• Technical Foundation: Solid understanding of identity and security technologies, including Identity and Access Management (IAM), Privileged Access Management (PAM), Identity Governance and Administration (IGA), authentication, cloud platforms, and SaaS integrations.
• Sales Methodology: Familiarity with the MEDDPICC qualification framework or a similar enterprise sales methodology.
• AI & Automation: Practical experience using Large Language Models (LLMs), AI copilots, and automation to improve technical research, customer preparation, solution development, and team productivity.
• Technical Skills: Experience with APIs, scripting, automation platforms, or identity security platforms.

Experience & Competencies

• Track record of leading change, especially transitioning a Solutions Engineering team from a hybrid model into a focused, enterprise-grade pre-sales organization.
• Proven ability to partner with Account Executives throughout complex, consultative sales cycles, using MEDDPICC to advance technical strategy and remove blockers.
• Background in a channel-forward go-to-market motion, including MSPs, VARs, two-tier distribution, and strategic partners.
• Influence & Communication: Builds credibility with customers, partners, Sales, and cross-functional stakeholders.
• Judgment & Prioritization: Balances technical depth, customer needs, deal strategy, and team capacity.
• Coaching & Accountability: Develops talent, gives direct feedback, and sets a high bar for execution.

What You Can Expect

• Lead and support a team of Solutions Engineers across commercial and channel-led customer engagements.
• Establish consistent approaches to discovery, solution design, demonstrations, proofs of concept (POCs), and technical validation.
• Partner with Sales to shape account strategy, identify technical risks, and advance opportunities toward a technical win.
• Build strong relationships with channel partners and support joint customer engagements.
• Coach team members through complex customer conversations while supporting their growth and development.
• Use customer feedback, pipeline health, and engagement metrics to improve team execution and standardize useful technical assets.
• Champion practical, responsible use of AI and automation while collaborating with Product, Marketing, Customer Success, and Engineering to bring customer insights into the business.