Akkio · 1 day ago
Senior Solutions Engineer
New York, New York, United States
Full-time
Onsite
Senior Level
$175K/yr - $200K/yr
5+ years expAkkio is an AI workflows platform that automates workflows across the campaign lifecycle. The Senior Solutions Engineer will be responsible for mapping customer requirements to Akkio's capabilities, delivering demos, and leading proof of concepts to drive commercial momentum.
AnalyticsArtificial Intelligence (AI)Big DataBusiness IntelligenceCloud Data ServicesData MiningData VisualizationMachine LearningSoftware
No H1B
U.S. Citizen Only
Responsibilities
Own solution mapping in pre-sales: lead discovery, translate requirements into Akkio configurations, align scope, timelines, and success criteria
Be demo-ready, always: deliver targeted demos and POV narratives that connect pains to current capabilities and near-term roadmap
Lead POC execution (business/functional stream): define success metrics, manage cadence, validate outcomes, and guide executive readouts; coordinate technical tasks with the Solutions Architect
Handle technical Q&A at the right altitude: speak credibly to how Akkio integrates with common agency data stacks and workflows—including data ingestion, transformation logic, and output delivery
Drive commercial momentum: document decision criteria, quantify value/ROI, track risks, and support negotiation with clear acceptance outcomes
Create reusable assets: discovery guides, demo scripts, solution one-pagers, and exec-summary templates
Close the loop with Product: capture field feedback, identify gaps vs. roadmap, and provide crisp, prioritized inputs that improve win-rate and time-to-value
Engage with clients: work closely with clients and client teams to help them understand the Akkio platform and get the best outputs aligned to their needs
Qualification
Required
5+ years in solutions engineering, technical consulting, solution architecture, technical account management, or pre-sales for enterprise software platforms (AI/ML, analytics, martech/adtech strongly preferred)
Hands-on experience working with LLM-based enterprise software/systems (e.g., conversational analytics, RAG-assisted workflows, AI copilots) in customer-facing contexts—able to explain evaluation criteria, governance, and adoption patterns. (No requirement to have built models from scratch.)
Proven ability to map business problems to product capabilities and articulate trade-offs (what's GA vs. config vs. roadmap)
POC leadership: setting success criteria, running structured pilots, and driving to decisions with measurable outcomes
Executive-caliber communication & storytelling—confident live demos, crisp decks, and concise write-ups
Strong stakeholder management across Sales, Product, and Customer Engineering; comfort with multi-threaded, enterprise deals
Modern cloud data platforms: Understand how data flows through warehouses like Snowflake, BigQuery, or Databricks. You can discuss schemas, common transformation patterns, and why a customer's data architecture matters for our integration
APIs and integration patterns: Comfortable explaining REST APIs, webhooks, authentication methods (OAuth, API keys), and how enterprise software connects to existing tech stacks. You've scoped or supported integrations in past roles
AI/ML concepts for enterprise: Can articulate how models are trained, evaluated, and deployed in business contexts. Understand concepts like training data quality, model drift, prompt engineering, and RAG architectures at a level sufficient to set customer expectations and answer 'how does it work?' questions
Enterprise IT considerations: Familiar with SSO/SAML, data residency requirements, security reviews, and procurement processes at large organizations
Data formats and operations: Comfortable with CSV, JSON, and basic SQL. You've used BI tools (Tableau, Looker, Power BI) or worked alongside teams that do
Competent LLM usage: Experience working with foundational models (Anthropic, OpenAI, etc.) and be able to speak about prompting best practices and applications
Benefits
Health, dental, and vision insurance
401(k) plan
Generous PTO policy
Company
Akkio
Akkio is an AI company that delivers generative analytics and machine learning to businesses.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$18MKey Investors
Bain Capital Ventures,PandomeBain Capital Ventures
2023-08-01Series A· $15M
2021-09-27Seed· $3M
2019-12-01Seed
Leadership Team
Abraham Parangi
Co-Founder & CEO
Jon Reilly
Founder and Co-CEO
Recent News
2026-01-07
2025-06-12
Company data provided by crunchbase