Solutions Architect

Akkio • ,

32d • $160,000 - $240,000 • Remote

About The Position

Akkio is the AI infrastructure that automates campaign workflows for the world's largest media agencies. Our platform runs on-premises within our partners' cloud environments, sits directly on top of their data, and enables teams to productionize agentic AI workflows at enterprise scale with full security and governance control. We're a small, fast-growing team, and every person here shapes what media's biggest players do next. Our solutions architects use AI agents every day to build demos on real partner data, prototype integrations, pressure-test architectures, and turn a discovery conversation into a working proof point in days, not quarters. You'll be advising the world's largest media agencies on how to run their business on agentic AI, and that advice only lands if you live it yourself. If you've rebuilt how you work around AI tools and you can show, not just tell, what agentic workflows make possible, you'll feel at home. If you're still evaluating whether AI is ready for real work, this isn't the right role. The Solutions Architect is the technical face of Akkio during evaluation — the person who earns the technical win. You're cross-account by design: you own POC scoping and definition, demos on partner data, and the deployment architecture that takes a partner live, staying sharp at POC craft by running many engagements rather than living inside one. You enter at qualified opportunity and drive through the technical win: discovery, the POC gate (named use cases, success criteria, and exit criteria the partner signs), POC execution, and the architecture behind it. At POC signature, a Solutions Strategist shadows the back half of your POC and takes the account at close. Your handoff is warm, and you move to the next win. This role is built for owners. Enterprise engagements at a fast-moving AI company are rarely fully defined and often shift as we learn from partners. We're looking for someone who treats that as the fun part: someone who takes an ambiguous partner need, shapes it into a solution the platform can deliver, and drives it to the technical win without waiting for a playbook. You build trust by being the most useful person in the room.

Requirements

• 3+ years in customer-facing technical roles: solution architecture, sales engineering, forward-deployed engineering, data engineering, or agency-side technology leadership
• Fluent in the modern AI stack and able to hold your own in deep technical conversations on LLMs, agentic systems, data platforms (Snowflake, BigQuery, or Databricks), and cloud architecture (AWS, GCP, and/or Azure)
• AI-native as a daily practice: you use LLMs and agents as tools, you have opinions about context management, prompting, and where agents break, and you've built things you can show us
• Hands-on data skills: strong SQL, comfort with ingestion/transformation patterns and medallion-style data zones, and experience working directly with campaign, audience, or measurement data
• Consultative instincts: you're comfortable in the sales motion, you know how technical evaluations are won, and you influence buying decisions by being credible and useful rather than by pitching
• Comfortable with enterprise IT: SSO/SAML, data residency, security reviews, governance inheritance, and named-access requirements at large organizations
• You thrive on ownership: you've repeatedly taken loosely defined partner needs and delivered outcomes anyway, filling gaps with judgment rather than waiting for direction

Nice To Haves

• You know the media business from the inside: how agencies are structured, how planning, buying, audience, and measurement work flows. Direct experience is ideal, but strong familiarity plus curiosity counts, especially early in career. We'll teach the domain to someone who brings the infrastructure depth and the AI instinct.
• Hands-on experience building with large language models: evals, tool use, agent orchestration, or LLM-powered prototypes you can show us
• A network across agency holding companies and independents, and a feel for how buying decisions get made inside them
• A public voice in the industry: speaking, writing, or teaching on AI, data, or the future of media
• Previous early-stage startup experience

Responsibilities

• Own POC scoping and definition: run the qualification gate — named use cases, success criteria, and exit criteria signed by the partner before the POC starts
• Lead technical discovery, architecture sessions, and solution design workshops that translate how agencies plan, build audiences, and measure campaigns into agentic workflows running on Akkio infrastructure
• Partner with go-to-market to earn the technical win: scoping and running proofs of concept, building demos on partner data, and giving technical buyers the confidence to say yes
• Design deployment architectures that work within each partner's cloud environment, data landscape, and governance requirements — inheriting their governance, access controls, and security model
• Run the data work inside the POC: ingestion and transformation design across whatever stack the partner brings (BigQuery, Snowflake, Databricks, Postgres, Mongo)
• Hand off warm: bring the Solutions Strategist into the POC's back half so the account starts with full context
• Productionize the repeatable parts: every second and third repetition becomes a module, a rail, or an agent that makes the next engagement faster
• Spot patterns across accounts and bring them back to product and engineering, shaping the roadmap with what you're hearing in the field

Benefits

• Health, dental, and vision insurance
• 401(k) plan
• PTO

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed