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Ai Implementation Jobs in Edison, NJ (NOW HIRING)

Numeric

Implementations Manager

New York, NY · On-site

$145K - $170K/yr

Your playbooks, templates, and AI-assisted workflows measurably compress implementation timelines across the team How We Work This role is in person in San Francisco or New York (in office by default ...

Qvest US

Senior Manager, Applied AI

Manhattan, NY · On-site

Responsibilities : • Lead project teams through all core project phases of Applied AI implementation, including project setup, requirements gathering, design, development, testing and deployment ...

Valkai

AI Strategy

New York, NY · On-site

$140K - $240K/yr

Act as strategic advisor on AI implementation in regulated environments, including change management, governance, and compliance considerations * Translate customer needs into product requirements by ...

Avoca AI

Implementation Manager

New York, NY · On-site

$130K - $190K/yr

Our AI-powered conversational agents handle every high-value inbound call, from booking jobs ... About the Role As an Implementation Manager at Avoca, you'll own post-sales onboarding for our ...

Distyl AI

AI Strategist, Healthcare Solutions

New York, NY · On-site

$132K - $171K/yr

You'll work at the intersection of business strategy and AI implementation, bridging the gap between Distyl's technical AI tools and the business outcomes that get deals signed. Strong communication ...

Qvest US

Senior Manager, Applied AI

New York, NY · On-site

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Lead project teams through all core project phases of Applied AI implementation, including project ...

Theguarantors

AI Solutions Architect

New York, NY · On-site

$200K - $230K/yr

The Role The AI Solutions Architect is responsible for designing, implementing, and scaling AI-enabled solutions across TheGuarantors' customer-facing and internal operations. This role supports the ...

Qvest US

Senior Manager, Applied AI

New York, NY · On-site +1

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Lead project teams through all core project phases of Applied AI implementation, including project ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

Design and implement document ingestion, embedding generation, vector indexing, reranking, and retrieval pipelines. * Integrate AI applications with enterprise systems, APIs, databases, document ...

Sei Foundation

Director of AI

New York, NY · On-site +1

Build a prioritized roadmap of AI implementation opportunities ranked by time savings, output quality, and strategic impact * Identify recurring bottlenecks in research, reporting, communications ...

Qvest US

Senior Consultant - Applied AI

New York, NY · On-site +1

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Who We're Seeking Qvest US is seeking an experienced Senior Consultant in Applied AI & Change ...

Qvest US

Senior Consultant - Applied AI

New York, NY · On-site

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Who We're Seeking Qvest US is seeking an experienced Senior Consultant in Applied AI & Change ...

Qvest US

Senior Manager, Applied AI

New York, NY · On-site +1

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Lead project teams through all core project phases of Applied AI implementation, including project ...

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Showing results 21-40

All JobsAi Implementation JobsAi Implementation Jobs in Edison, NJ

Ai Implementation information

See Edison, NJ salary details

$40.4K

$107.2K

$173.9K

How much do ai implementation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai implementation in Edison, NJ is $107,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $125,300.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Edison, NJ?

For Ai Implementation jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Edison, NJ look for?

The top searched job categories for Ai Implementation jobs in Edison, NJ are:

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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Edison, NJ as of August 2026, with employment types broken down into 71% Full Time, 22% Part Time, 3% Temporary, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $107,168 per year, or $51.5 per hour.

Implementations Manager

Numeric

New York, NY • On-site

$145K - $170K/yr

Full-time

Posted 22 days ago

Job description

Why Numeric
Every business relies on accounting. Yet most software in the space was built in the early 2000s - clunky, slow, and far behind the curve on AI. Today, accountants are facing a growing, unsolved data problem as a consequence of complexity, data, and system fragmentation - and they lack the tools to solve it. The problems are real, hard, and increasingly urgent. But they're solvable.
Enter Numeric - the modern financial data platform for accounting and finance. Weaving together data, workflows, and AI-first solutions, we're empowering accounting teams to achieve verifiable, detailed financial data faster and make business decisions with greater confidence.
We have strong product market fit and a growing base of customers who love our product - including Anthropic, OpenAI, Plaid, Brex, and many more. We're backed by top-tier investors including Menlo Ventures, IVP, Founders Fund, and 8VC, along with founders and executives from Ramp, Segment, and other category-defining companies.
About the role
  • Do you love the moment a customer's close runs on the system you set up?
  • Ever wish you could re-architect a messy close process instead of just surviving it every month?
  • Do you measure an implementation by whether the customer is actually living in the product, not by whether the kickoff deck got delivered?

If any of that resonates, this role is for you. As an Implementations Manager, you'll own new customer implementations end to end: running the kickoff, building the milestone plan, doing the technical configuration and integration work, training the customer's team, and driving to a go-live where the customer is genuinely closing in Numeric. Implementation is where customers decide whether Numeric is a tool or their system of record. You own that first impression.
This is the ops-and-process pillar of our post-sales team: structured, technical, project-driven work with real customer relationships built through the most intensive weeks of their Numeric journey.
You'll be joining a team of reformed accountants, alumni of EY, PwC, KPMG, and Deloitte, plus in-house teams at companies like Brex, Meta, and WHOOP, who decided building the future of the close beat running one. We're also one of the most AI-forward post-sales teams in SaaS: we build our own AI agents and internal tooling rather than waiting for someone to build it for us.
What You'll Do
  • Own a portfolio of implementations end to end. Kickoff through go-live: week-by-week milestone plans, clear Numeric-vs-customer responsibilities, honest expectation management when timelines slip, and in-person kickoffs and trainings when being in the room moves the project.
  • Do the technical work with AI leverage. Configure close checklists, reconciliations, flux, and reporting; debug ERP integrations (NetSuite depth matters - token errors, permissions, multi-entity structures); and build AI-assisted configuration so your capacity scales past your hours.
  • Make customers AI-native from day one. Train accounting teams from staff accountant to controller, on the product and on running an AI-first close, so go-live means a modern close rather than a lift-and-shift of the old one.
  • Go deep on a product surface. Close implementations are the foundation; Cash is our most technically demanding, transaction matching rules, SFTP data feeds, automation-rate monitoring, and edge cases that need creative workarounds. You'll build depth in one and fluency in both.
  • Hold "done" to outcomes and hand off cleanly. Go-live means the customer is closing in Numeric, not that the plan ran out of rows. Clear blockers with Engineering and Product while keeping the customer moving, and deliver adopted, documented accounts to Customer Success against defined handoff criteria.
  • Build the playbook and the services motion. Codify what great looks like, kickoff decks, phased templates, agents that automate the repetitive 80%, mentor Implementations Associates as the team grows, and scope and deliver paid AI implementation services engagements.

What You'll Bring
  • Accounting Foundation: 5+ years of accounting experience, ideally in the shape of an accounting manager or technical accounting manager who has owned a monthly close. You've run the process you'll now be re-architecting, and you're credible with controllers and CAOs on day one. CPA is a strong plus.
  • Project Leadership: You've led complex, multi-stakeholder projects to done - ideally software implementations or systems migrations - and you keep momentum without waiting to be pushed.
  • ERP & Systems Depth: Strong understanding of ERPs (especially NetSuite), integrations, and how financial data moves between systems.
  • Strong Communication & Problem-Solving: You give customers confident, opinionated guidance on how they should close, and you handle pushback with evidence rather than deference.
  • AI Fluency & Bias for Action: You automate what others grind through. You use AI tools in your own delivery work and design implementations that assume customers will too.

Nice to Haves (Not Required):
  • Prior implementation, solutions consulting, or professional services experience at a B2B SaaS company
  • Experience with multi-entity and/or multi-currency accounting
  • Exposure to audit processes and internal control frameworks
  • Experience scoping or delivering paid services engagements
  • Ability to write and run basic SQL queries

What Success Looks Like
  • Time-to-Value: Your implementations go live fast, and "live" means the customer is actually closing in Numeric
  • Quality at Handoff: Customers arrive in CS adopted and healthy, and churn doesn't trace back to a rushed implementation
  • Complexity Absorbed: The hardest projects (NetSuite-heavy, multi-entity, Cash) land with you and land well
  • Customer Love: Your onboardings generate the "best onboarding we've ever had" feedback that turns new customers into references
  • Team Leverage: Your playbooks, templates, and AI-assisted workflows measurably compress implementation timelines across the team

How We Work
This role is in person in San Francisco or New York (in office by default but with flexibility to manage your schedule as you see fit).
We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:
  • Brick by Brick: To win, our team needs to show up and execute in each domain every day.
  • Love the Game: We focus on the craft and a deep sense of giving a f*ck. We're building a company full of people who are equally engaged and motivated.
  • SALY: We refuse to accept "Same As Last Year." For too long, accounting and finance systems have reflected outdated processes instead of reimagining what's possible. We're driven by a first-principles approach to building better solutions.
  • Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. You're responsible for customer outcomes, not just task completion.
  • Earn the Right: We're impatient to deliver results. We relentlessly iterate, measure, and improve. Every day is an opportunity to beat our prior best, raising the bar for the value we deliver to customers.

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