Why Telta

Recognizing good leaders, diagnosing organizational problems, and establishing criteria for decisions about people have long depended on the experience and judgment of a small group of experts. That expertise is expensive: growing businesses struggle to hire specialists, while even large enterprises devote substantial resources to designing and applying consistent criteria.

Telta is turning that expert judgment into software. Today, our foundation is interpreting data from application reviews, interview assessments, competency and leadership assessments, and employee surveys using criteria developed by HR experts, then delivering analytical reports. Building on this foundation, we're progressively developing Telta AI, an HR expert agent that understands each company's business and organizational context and gives leaders and HR teams answers backed by evidence.

Turning expertise into software means handling real-world complexity accurately while building structures that can be reused. Solution Engineers work closest to customers' actual workflows, turn them into working automations, and design product features that address needs and problems shared across customers. You'll be central to making expert judgment available to more organizations.

The role

Start by understanding the customer's work in depth: what data comes in, which rules govern its processing, and what needs to come out. Then design and build automation for that customer. After deployment, check firsthand how it works in practice and refine it. When the same problem appears across customers, design a solution using shared product features and customer-specific settings.

You'll own both design and day-to-day operation. That includes answering customer inquiries, checking data, changing settings, diagnosing errors, and rerunning processing. Doing this work yourself gives you a clear view of what to automate and what to build into the product.

You'll define assessment criteria with HR experts and work with Product Engineers to scope and implement changes that require product development or extensions to existing tools. Your responsibility is to judge what you can solve yourself, where to bring in others, and follow the work through to completion.

What you'll do

Design and build customer-specific automation

• Understand the data, processing steps, and final deliverables in a customer's workflow. Decide what to automate and where human judgment is needed.
• Using criteria defined with HR experts, specify data mappings, AI prompts, and calculation rules, then design the workflow that produces the final output.
• Learn and use workflow tools such as n8n, AI, and scripts to build and deploy automations that handle each customer's conditions and exceptions.

Operate customer automations

• Respond directly to customer inquiries, missing data, configuration changes, and operational errors. Compare data, rules, prompts, and outputs to find the cause, then verify results by checking calculations and rerunning processing. Complete the work manually when needed, and explain what happened and what you did to the customer.
• When assessment periods change or additional participants take an assessment, identify and implement the necessary changes to settings and automation flows, and check them before deployment.
• Manage each customer's schedule and changes. Review and deliver outputs by the agreed deadline and in the agreed format.
• Document customer-specific settings, decisions, and processing history so colleagues can take over with the same context. Turn solutions to recurring inquiries and errors into operating procedures, customer guides, and review checklists.

Design and specify product features

• Compare requirements across customers to decide what belongs in shared features and what should remain customer-specific configuration.
• Define features by designing and documenting user flows, interface mockups, settings, data processing conditions, and acceptance criteria.
• Work with Product Engineers and HR experts to decide how to implement a feature, the minimum functionality to build first, and what to improve later. Use results from actual customer deployments to inform the next design.

What we're looking for

• You have 2–7 years of professional experience.
• You've developed solutions by breaking ambiguous or complex work into steps, rules, and data flows.
• You've independently learned new tools, built something that works, and verified that its results are correct.
• You've handled customer questions and change requests directly, taking responsibility for the details and seeing the work through.
• You see data checks, configuration fixes, and repeated reviews as part of delivering quality, and you want to find better ways of working by doing that work yourself.
• When work overlaps, you've distinguished what to handle yourself from what needs collaboration, and coordinated priorities.

Bring your consulting, research, or data project experience

Relevant experience can take several forms: keeping survey questions, analysis, and deliverables aligned in a research project; defining operating rules and exceptions for HR policies in a consulting project; or putting data and AI outputs into use and owning their ongoing operation. You can learn the tools after joining. The judgment you've developed by structuring problems and checking the consistency of results is already an important foundation for this role.

You don't need prior experience with automation tools. You'll learn our current products, automations, and customer-specific operations alongside colleagues, starting with small changes and improvements before expanding what you design and operate yourself. You'll add implementation, operations, and product design experience to your existing expertise. We're more interested in what you've personally designed, put into use, and verified than in matching job titles or experience with a particular tool.

Nice to have

• Experience automating workflows with AI, no-code tools, APIs, or scripts.
• Experience designing or specifying B2B product features, settings, or user flows.
• Experience operating customer-specific solutions and developing them into shared features or templates.
• Familiarity with HR and organizational assessments, surveys, or research work and the data involved.