We're looking for a Head of Solution Engineering to lead a team of Solution Engineers and own the technical pre-sales function end to end. You will design and present customized technical solutions for customers, acting as the key bridge across Sales (AE/BD), Product, Engineering, and customer-facing teams.
In this role, you'll translate complex technical capabilities into clear, evaluable, and implementable customer value, helping accelerate deal progression and improve adoption success. This position is both hands-on and managerial: you will build team methodologies and standards to delivery quality and efficiency, while also personally driving critical opportunities and flagship projects--from discovery and solution design to technical alignment and executive communication--to ensure measurable business outcomes.
What You'll Do
Pre-sales leadership & critical project ownership
Partner with AE/BD to lead technical discovery and solution progression for mid-to-high complexity opportunities (current-state assessment, pain points, constraints, success metrics).
Tailor communication strategies for different stakeholders (CEO/CTO, business, product/engineering), and deliver solution presentations and technical demos.
Lead PoC/Pilot planning and execution: define acceptance criteria, design test plans, coordinate internal resources, synthesize results, and provide next-step recommendations (risks/assumptions/alternatives).
Work closely with Customer Success and Customer Support as the escalation owner for major cases: quickly pinpoint issues, propose feasible solutions, align expectations internally/externally, and keep delivery on track.
Team management & delivery quality improvement
Plan team coverage, ownership, and resource allocation to maintain quality and timelines across parallel workstreams.
Establish and run a proposal/solution review mechanism to validate feasibility, cost, and risk--reducing gaps between pre-sales commitments and delivery realities.
Build operating rhythms (weekly syncs, opportunity reviews, internal rehearsals, knowledge sharing) to improve collaboration efficiency and transparency.
Support hiring, onboarding/training, coaching, and talent development to strengthen team autonomy and continuous growth.
Align with PM/Engineering on customer needs and priorities; provide concrete use cases, impact assessment, and feasible approaches to drive execution.
Build a clear handoff process with AE/BD/Customer Support (pre-sales context, PoC results, risks, scope/commitments) to reduce implementation friction.
Stay on top of trends in cloud, cybersecurity, CDN/edge computing, and AI applications; convert insights into solution strategy and value messaging.
Develop strong partnerships with vendor/principal technical teams to stay current on product updates, roadmaps, and best practices--then translate them into differentiated customer value propositions.
What We're Looking For
Proven ability to independently lead the
end-to-end pre-sales process
.
Deep expertise in
at least one
of the following domains, with the ability to integrate across domains to deliver end-to-end solutions:
- CDN / network acceleration
- Cloud infrastructure
- Network security / cybersecurity
- Data platforms / databases
- AI and applied AI use cases
Strong communication and executive-level presentation skills; effective cross-functional influence and stakeholder management.
Ability to produce high-quality pre-sales materials (solution proposals, decks, demos, PoC plans/results, etc.).
6+ years of experience in Solution Engineering / Sales Engineering / Solutions Architect / Pre-sales (or equivalent).
2+ years of people management or tech lead experience (scoping ownership, quality bar, mentoring/coaching, feedback).
What We Offer
The opportunity to shape the future of multi-cloud and AI-driven product operations.
A culture that values innovation, initiative, and continuous learning.
Competitive compensation and growth opportunities within a forward-looking tech company.
The chance to make a tangible impact on transformative projects in the cloud and AI industry.
Job Type: Full-time
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