Technical SI Partnership Lead, Arize AI
$125-250k
+ Equity
Machine learning observability platform
Open for applications
Machine learning observability platform
21-100 employees
Open for applications
$125-250k
+ Equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 3+ years technical experience in solutions engineering, ML engineering, or technical consulting with AI/ML focus
- 3+ years business development or partnership sales experience in high growth enterprise SaaS or AI/ML companies
- Experience working for, with, or selling to consulting firms, SIs, or GSI organizations
- Proven track record conducting technical demos and enabling partner ecosystems
- Strong hands-on knowledge of AI/ML frameworks (LangGraph, LlamaIndex, OpenAI, Anthropic), cloud platforms (AWS, Azure, GCP), and observability tools
- Ability to architect solutions, demo products, and speak credibly with both engineers and executives
- Experience driving revenue through partner channels or technical sales motions ($5M+ preferred)
- You are undaunted by the technical complexity of production AI/ML deployments and welcome the challenge to learn about them and develop your own POV
- Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
- Understanding of GenAI concepts and application evaluation + development lifecycle
Desirable
- Existing relationships within AI/ML consulting ecosystem or major SI organizations
- Background in partnerships, consulting, professional services, or technical delivery
- Engineering degree or technical certification
- Proficiency in: Python / Linux/Unix
What the job involves
- We're seeking a Technical SI Partnership Lead to build and scale our Systems Integrator, Strategic Consulting and AI/ML Consulting Agency partnerships.\
- This role uniquely combines technical expertise with partnership sales—you'll demo our AI observability platform, enable partner teams, and drive revenue through strategic consulting relationships.\
- Reporting to the Head of Partnerships, you'll own our SI partnership program from technical enablement to deal execution, working with firms like Accenture, Deloitte, IBM, Infosys, Infogain, Quality Kiosk, McKinsey, Cognizant and emerging AI consultancies.
- Technical credibility to earn trust with partner engineering teams and customer technical stakeholders
- Business acumen to negotiate partnerships, influence C-suite executives, and close complex deals
- Entrepreneurial mindset and comfort in fast-paced startup environments
- Excellent communication skills that bridge technical depth and business value
- Build strategic relationships with Systems Integrators, evangelize our AI Engineering and Observability approach and drive technical certification programs
- Lead hands-on demos, POCs, and technical workshops for partner teams and joint customers
- Create technical training content, enablement programs, integration guides, and solution architectures tailored to partner delivery models
- Drive partner-sourced pipeline and revenue, targeting 40-60% contribution within 24 months
- Support partner-led sales cycles with technical discovery, solution design, and competitive positioning
- Collaborate with Enterprise Sales on deal registration, opportunity tracking, and joint selling motions
- Collaborate with Enterprise Sales and Account Management to accelerate new logo acquisition and account expansion
- Establish forecasting methodologies, deal registration processes, and opportunity tracking systems
- Lead territory planning, account planning, and pipeline management to achieve partner sales quotas
- Partner with sales to build ongoing deal flow and client activations with sales leadership and account executives
- Work with Marketing on co-marketing campaigns, technical webinars, and field events
- Align with Customer Success to ensure seamless partner-led implementations
- Partner with our Developer teams, Product leaders and Solutions engineers to build unique AI outcomes for our consulting partners and their clients
Our take
Machine learning is rapidly becoming a fundamental and mainstream automation tool used across many industries. The issue, however, is that monitoring, assessing, and improving ML models is costly, and especially tricky without monitoring capabilities. It’s created a market demand for ML monitoring tools, and Arize’s platform offers a rich suite of them.
The Arize platform gives developers and operators comprehensive oversight of their models with tools including performance tracing, drift detection, and integration and deployment. This provides a crucial guardrail: as more decision-making is handed over to ML in areas like insurance and loans, poor ML model performance can have a catastrophic effect on both individuals and customers alike.
Remarkably, given this development, ML observability platforms aren’t yet in huge supply. Arize startup rivals like Censius and WhyLabs are making strong headway, but a clear winner has by no means yet emerged. Arize has, however, netted some major customers: Spotify, Instacart, Uber, and P&G are a handful of the major clients that will help it lay a strong foundation in what is anticipated to be a highly lucrative market.
Kirsty
Company Specialist at Welcome to the Jungle
Meet the team
Meet Andy, Product Design Team Lead
Our mission
Collaborate to create functional and innovative design solutions.Insights
23% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2022
$38m
SERIES B
Sep 2021
$19m
SERIES A
Total funding: $61m
Company benefits
- Remote work
- Open PTO policy
- Health, dental, vision insurance
- 401K
- Company wellness days
- Coworking
Company values
- Do > Say - We believe in building, not just talking. Execution matters more than meetings, and progress beats process. Instead of endless debate, we prototype. Instead of bureaucracy, we ship. AI moves fast—so do we.
- N+1 - Good enough isn’t good enough. We believe in continuous improvement—whether it’s improving AI-powered systems, our product, or ourselves, there’s always a better version to build, iterate, and level up.
- Bring Solutions - Spot a problem? Own it. We don’t waste time on complaints or excuses—we focus on fixing, improving, and building. Whether it’s a blocker in a project or a gap in how we work, the expectation is simple: push for a better way forward.
Company HQ
New York, NY 10006
Articles
Leadership
Jason Lopatecki
(Co-Founder & CEO)Previously a System Architect at Calix, before they moved on to found and serve as CSO/CIO at TubeMogul for over a decade.
Aparna Dhinakaran
(Co-Founder & CPO)Has held Software Engineer roles at both Dote and Apple, and worked on Machine Learning at TubeMogul and Uber. Also co-founded and served as CEO at Monitor ML, and is additionally a columnist at Forbes.
Share this job
View 15 more jobs at Arize AI