AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
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.
What you'll bring to the table in this role:
- 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
🤝Partnership Development & Technical Enablement
- 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
💰Revenue Generation & Deal Execution
- 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
⚙️Cross-Functional Collaboration & Execution
- 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
Core Requirements:
- 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
Technical and Business Skills:
- 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
Bonus Points, But Not Required
- 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
The estimated annual salary and variable compensation for this role is between $125,000 - $250,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
Arize’s mission is to make the world’s AI work—and work for people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.
Learn more about what we're doing here:
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup
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What We Do
The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues
