Help companies use the AI they already pay for
Idaya builds AI into the sales, IT, and analytics systems companies run, then trains their teams to use it. We hire consultants, engineers, and analysts who work with AI every day.
How we work
Our team is fully remote across the US, the UK, and India.
Every role uses AI
No job here runs the old way. AI is part of the daily work, from the help desk to engineering.
Judgment counts more than years
We care whether you can spot a wrong AI suggestion more than how long you did the job by hand.
Close to clients
Most roles, including technical ones, work directly with clients, so you see whether your work gets used.
Open positions
Thirteen roles, all remote. Select a role to read the full description.
Sales, marketing and service
Forward Deployed Engineer
You'll work inside client systems such as Salesforce, HubSpot, and ServiceNow and build the places where AI appears: a drafted reply in a ticket, a risk alert on a deal, a summary at the top of a queue. You turn a request like “we want AI to do this” into something a rep or analyst uses the next morning.
What you'll do
- Scope and build AI features inside client CRM, help desk, and marketing platforms
- Work with client admins and IT teams instead of building alone
- Fix problems in live systems that belong to someone else, within their rules
- Write documentation the client's team can maintain after you leave
What we're looking for
- Experience building on Salesforce, HubSpot, ServiceNow, or a similar platform
- Practical work with AI model APIs that goes beyond tutorials
- Willingness to travel now and then for project starts and launches
- A habit of shipping something useful quickly and improving it from there
AI Enablement Consultant, Sales and Marketing
You'll lead client projects from start to finish. You'll sit with sales, marketing, and service teams to learn how they work, decide where AI belongs in Salesforce, HubSpot, or Adobe, and train the people who will use it. The job mixes consulting, teaching, and product design.
What you'll do
- Lead discovery with client sales and marketing teams to find where AI helps and where it distracts
- Design new AI features with our engineers and document them
- Run practical training for reps, marketers, and service agents
- Return at 30 and 60 days to adjust based on usage data
What we're looking for
- Background in sales operations, sales enablement, or consulting on Salesforce, HubSpot, or Adobe
- Confidence in front of a room of sales reps
- Daily use of AI tools in your own work
- Curiosity about why people ignore a system that was set up correctly
Marketing Analytics Lead
You'll build how our clients measure marketing: one framework that links campaigns to pipeline, revenue, and product usage, built on their Salesforce, HubSpot, or Adobe data. You'll define the metrics, build the models and dashboards, and get marketing leaders to run their weekly reviews from them. You write the SQL and build the models yourself.
What you'll do
- Build measurement frameworks that connect marketing activity to pipeline, revenue, and usage
- Get marketing, sales, and finance to agree on metric definitions before reports start to conflict
- Build the data models and dashboards leadership relies on, using AI to find trends worth raising
- Teach client teams how the metrics work and present findings executives can act on
What we're looking for
- Deep experience with lead funnels, attribution, and product usage measurement
- Strong SQL on large datasets, plus data modeling in dbt or a similar tool
- Experience with Salesforce and marketing automation data and the tradeoffs between attribution models
- The ability to turn a vague question into a clear definition and see a dashboard through to daily use
Partner Marketing Manager
You'll run our joint marketing with the platforms we build on, such as Salesforce, HubSpot, and ServiceNow, and with AI model providers. You'll be each partner's main marketing contact, build the joint plan, manage shared marketing funds, and turn agreements into events and programs that bring in new business. You'll write most of this playbook yourself.
What you'll do
- Manage each partner relationship from one joint plan, with goals agreed before any shared money is spent
- Handle partner marketing funds: allocation, tracking, compliance, and reporting on results
- Plan sessions at partner events such as Dreamforce, plus customer workshops and executive dinners
- Measure the business partners bring in, and protect our brand by saying no when a request doesn't fit
What we're looking for
- 7+ years in business to business marketing, including field, partner, or alliance marketing at a technology company
- Experience running joint marketing with a major software platform or cloud provider, including shared funds
- A record of executive events that produced measurable sales opportunities
- Ability to earn trust with partner teams while holding firm on brand, message, and budget
IT help desk and infrastructure
Help Desk Analyst
You'll work in ServiceNow, Freshservice, or Zendesk with an AI assistant that drafts replies and suggests fixes on every ticket. Your job is deciding when to trust it, when to rewrite it, and when to escalate, and passing those decisions back so the AI improves. This is not a seat where you follow a script.
What you'll do
- Sort and resolve tickets with an AI assistant in your queue from your first day
- Review, edit, or override AI drafts before they reach a user
- Report cases where the AI keeps getting it wrong so we can fix the rules behind it
- Record unusual cases that become training material for new analysts
What we're looking for
- Experience in a help desk, service desk, or technical support role
- Willingness to question a tool's suggestion instead of accepting it
- Clear writing, since much of the work is drafting and editing
- No AI experience needed, only interest in how it changes support work
AI Enablement Consultant, IT Help Desk
You'll do for IT teams what our sales and marketing consultants do for revenue teams. You'll work with service desk managers and IT leaders to decide where AI belongs in ServiceNow, Freshservice, or Zendesk, rebuild response targets and queue rules around what it can resolve, and train analysts to work with it.
What you'll do
- Map how tickets really move, together with IT leaders and frontline analysts
- Design AI features for sorting tickets, drafting replies, and finding help articles
- Rebuild response targets and escalation rules around what can be automated
- Train analysts and Tier 2 and Tier 3 engineers to work with the AI instead of around it
What we're looking for
- Experience in IT service management, service desk leadership, or consulting on ServiceNow or Freshservice
- Comfort designing response targets, queue rules, and escalation policies
- Daily use of AI tools and a clear view of where they fail
- Patience for change management, since the work is as much about people as systems
Systems and Network Administrator
You'll keep the systems behind our client work and our own team running: identity, laptops, networks, cloud accounts, and access. You'll use AI to automate routine tasks, find problems before users do, and keep a change record that satisfies a security review.
What you'll do
- Manage identity and access in Okta and Entra ID, including onboarding, offboarding, groups, and access rules
- Run Microsoft 365 and Google Workspace, laptops, and the network, VPN, and firewall setup behind them
- Automate routine admin work with PowerShell, Python, and AI tools
- Monitor, patch, and back up systems, take escalations from the help desk, and document fixes
What we're looking for
- Experience running Windows, macOS, and Linux alongside Microsoft 365 or Google Workspace
- Networking basics: DNS, DHCP, VLANs, VPN, and firewall rules
- Knowledge of Okta or Entra ID and security basics such as MFA, least privilege, and patching
- A preference for automating a fix once over repeating it each week
Hardware Lab Manager
You'll run the hardware labs our teams build and test on: what arrives, how it's powered, cooled, cabled, and tracked, and how engineers reach it. You'll take new servers and accelerators from the crate to a machine a remote engineer can log into. As our first lab manager, you'll decide how the lab grows from one site to several.
What you'll do
- Run the physical lab: receiving, racking, cabling, power and cooling plans, and asset tracking for valuable and prerelease hardware
- Bring up new servers and accelerators, including firmware, BIOS and UEFI, remote management, operating system installs, and network setup
- Handle purchasing, returns, and vendor escalations, and direct onsite contractors
- Write guides and simple tools for inventory, remote power, and console access so remote teams can use the lab without waiting on you
What we're looking for
- 8+ years running a hardware, systems, or data center lab, including cabling and power distribution
- Working knowledge of BMC, IPMI, Redfish, PXE boot, and firmware updates, plus enough Linux and networking to hand a bare machine to a remote engineer
- Experience managing vendors, quotes, freight, and contractors
- You raise risks early and plainly and keep work moving without perfect information
Analytics and data
Data Scientist, AI Safeguards
You'll measure whether the AI we build for clients behaves as intended: where it helps, where its quality slips, and where people misuse it. You'll work with our engineers and consultants to set the right metrics and turn what you find into fixes and safeguards. As one of our first analytics hires, you'll set the data standards others follow.
What you'll do
- Study usage data from our AI features to find safety, quality, and misuse problems
- Define success metrics, set targets, build forecasts, and write reports people read
- Design experiments on product and safeguard changes and recommend what to release
- Set data standards and make data easy for every team to reach
What we're looking for
- 8+ years in data science or analytics, ideally working with product or engineering teams
- Strong Python, SQL, and charting skills, plus comfort analyzing AI model output
- Experience with trust and safety or abuse prevention is a strong plus
- Clear writing and a habit of delivering useful answers on time
Engineering
Full Stack Software Engineer
You'll build internal tools and reusable connectors so our client work doesn't start from zero each time: connectors to Salesforce, HubSpot, and ServiceNow, dashboards that track what is live for each client, and the base our forward deployed engineers build on.
What you'll do
- Build and maintain connectors and internal APIs used across client projects
- Write production JavaScript and TypeScript on both the front end and the back end
- Use AI coding tools as your normal way of working
- Turn one client's custom build into a component other clients can use
What we're looking for
- Full stack experience, such as React on the front end and Node on the back end
- Experience with the API of at least one CRM, marketing, or help desk platform
- Daily use of AI coding assistants and the judgment to override them
- A preference for removing a manual step over doing it faster
Engineering Manager, Search and Retrieval
You'll lead the team that builds the search system behind our AI features: the indexing, retrieval, and ranking that let AI find the right help article, account history, or past ticket when someone needs it. You'll decide what a good answer looks like and how we deliver it, and with few product managers on staff, you'll often make product decisions yourself. You'll stay close to the code, reviewing designs and finding out why search quality dropped.
What you'll do
- Lead and grow the search team and own its roadmap
- Own search quality: evaluation methods, relevance measurement, and catching regressions
- Run the system reliably across client environments, balancing speed, cost, and quality
- Work with our engineers and consultants on what good search looks like inside CRM and help desk tools
What we're looking for
- Experience managing engineering teams, including hiring through fast growth
- Experience building or running search at scale
- Working knowledge of embeddings, machine learning ranking, and retrieval for AI products
- Comfort making product decisions without a product manager and aligning teams with different goals
MuleSoft Integration Developer
You'll build the integrations that let AI work across systems: CRM history in a support ticket, a campaign response on a deal record, ERP order status where a rep can see it. You'll design and release APIs on MuleSoft Anypoint that connect Salesforce, ServiceNow, data platforms, and AI services, so data moves between systems without anyone retyping it.
What you'll do
- Design and build system, process, and experience APIs on MuleSoft Anypoint
- Connect Salesforce, ServiceNow, ERP, and data platforms to each other and to AI services
- Write DataWeave transformations, error handling, and tests, and deploy through automated pipelines with monitoring
- Document integrations so client teams can run them, and reuse components across projects
What we're looking for
- Practical MuleSoft Anypoint experience, including Anypoint Studio, DataWeave, API Manager, and Runtime Manager
- Grounding in REST and SOAP APIs, RAML or OpenAPI, and event and batch integration patterns
- Experience integrating with Salesforce, and ideally ServiceNow or an ERP such as SAP or NetSuite
- Regular use of AI coding tools
AI Operations Engineer
You'll keep the AI we build for clients working well after launch. Once a draft appears in a ticket or an alert lands on a deal, someone has to track its accuracy, cost, and speed, and respond when a model provider changes something. You'll run monitoring, evaluations, model routing, and incident response across Anthropic, OpenAI, and Microsoft Copilot deployments.
What you'll do
- Monitor AI features in production for quality, speed, cost, and failures, and act before users notice
- Build evaluations that catch regressions when prompts, models, or client data change
- Manage model routing, usage limits, fallbacks, and spending across providers
- Lead AI incident response and keep a log of what each model was asked, what data it read, and what it returned
What we're looking for
- Experience running production systems in an SRE, DevOps, MLOps, or platform role, including on call duty
- Practical work with model APIs from Anthropic, OpenAI, or Azure OpenAI, plus prompt and evaluation tools
- Strong Python and monitoring skills, with dashboards and alerts you have relied on
- A habit of measuring where AI fails instead of assuming
Don't see a role that fits?
Write to us about the work you want to do. We read every message.
For client and partnership questions, write to info@idaya.ai.