Functional Safety Engineer

Ideal Candidate

What we're looking for

3 to 7 years of experience, with meaningful time in a product or solutions role.

Strong track record of client-facing delivery: you have run implementations or deployments for large enterprise customers, not just written specs internally.

Comfortable getting hands-on. You can read an API doc, model a data flow, write SQL, and reason about system integrations. Coding is a plus, not a requirement.

You can hold a room of enterprise stakeholders and drive a decision.

Experience with workflow automation, iPaaS, low-code platforms, CRM/ERP/ITSM ecosystems, or LLM and agentic AI systems.

Bias to build. You are comfortable with ambiguity and a scope that changes as you learn.

Willing to travel to customer sites and to work on-site in Gurugram.

Apply here https://tinyurl [dot] com/3tz4tkht

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.

First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.

Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Agency OS

We're building the first agency OS: a system where the agency's work is the software, enabling clients to gain an unfair advantage.

As Karpathy puts it, Software 3.0 automates what humans can verify. Verifiability, not capability, decides which work can safely be handed over. So every eval we write expands the set of work we can trust an agent with, and the harness isn't overhead around the product, it's what makes the product possible. Dex Horthy covers the operational half: the agents that survive contact with customers are well-engineered software with human judgement placed deliberately, and disciplined loops beat vibes.

What that looks like here: expert orchestrators, not operators. One strategist supervising a fleet of agents running real client workflows at scale, with the system surfacing what genuinely needs a human decision and staying quiet about what doesn't. Feedback loops everywhere. Every correction an expert makes becomes an eval case, and the swarm is better the next cycle.

The Team

You'll join the Automations team at Discovered Labs. We build the agent swarm: a growing fleet of agents and workflows that do real client work end to end, and the engineering that makes them trustworthy enough to let loose on it.

Your mandate is both halves of that. Expand what the swarm can do, and prove that what it does is right. That means applying hardcore engineering to a famously slippery problem: making non-deterministic systems reliable, measurable and provable. Evals that fail a build. Traces that explain a decision. Guardrails that hold when a model doesn't. Agents that know what they don't know and say so.

You'll work alongside the Automations lead, and with our AI & Data team who own the platform and tooling underneath you. You won't be building orchestration from scratch or fighting for infrastructure. It's there, and it's good. Your job is to take it the last mile.

Every agent you make provable is an agent we can put in front of a client. That's the whole game, and the ceiling on how fast this company grows.

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, shipped AI code review at CodeRabbit, built at Amazon, developed self-driving car systems at Aurora, and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

You'll join the Automations team, and your job is to productionise what we've built.

We have live 24/7 agents, data pipelines and workflow infrastructure. What you’ll be doing is helping us get the stack running robustly, reliably and at scale.

That means evals that catch regressions before they ship, observability that explains why an agent did what it did, provenance that traces every claim back to its source, and interfaces that let a non-engineer SEO strategist run and review the work. You'll build the harnesses and eval suites that gate agent changes in CI, the lineage and step-trace tooling that makes agent reasoning inspectable, and the surfaces the team actually uses. Then you'll close the loop: instrument the output, feed the signal back, and make the agents measurably better every cycle.

You'll also extend what agents can reach. Today they work over APIs and our own data. Next they operate real websites along withsession handling, and navigating interfaces that were never designed for machines.

The hard problem is reliability and legibility. An agent that's right 80% of the time and can't tell you which 80% is worthless. An agent that's right 95% of the time, shows its working, and flags its own uncertainty is a product.

You report to the CTO and work alongside the Automations lead, with our AI & Data team owning the platform beneath you. You own your evals, your CI, and your monitoring.

What You'll Do

Agent eval harnesses. Golden suites, deterministic checks, and online scoring that gate every agent change in CI. A regression should fail a build, not a client report.

Agent observability. Step traces, token and cost accounting, run-level SLOs, and failure taxonomies. You'll know the difference between "the agent ran" and "the agent was right."

Data lineage and provenance. Every claim an agent makes should be traceable to its source. Which inputs, which tool calls, which reasoning steps produced this output.

End-to-end agents with human review. Agents that complete real work start to finish, with a curated review surface so an expert can approve, correct, or reject, and so that correction becomes training signal.

Interfaces for non-engineers. Dashboards and controls that let the SEO team run, inspect and trust agent work without asking an engineer.

Expanding what agents can do. Agents that open pull requests against real repositories, authenticate through OAuth, and operate real sites and CMSs through the browser. Every new capability is a new class of work the swarm can take on.

Closing the loop. Turn signals we already collect, such as AI perception and citation data, into concrete client value: strategy recommendations, prioritised actions, and measurable outcomes.

Algorithms and scoring models. Not everything should be a prompt. You'll build and tune the scoring systems behind what we recommend: internal linking and semantic relevance scoring, Reddit opportunity and thread scoring, content and citation quality. These are ranking and classification problems with real feedback data behind them, and where a model beats a prompt, you build the model.

Shared, composable modules. Reusable capability blocks that both agents and workflows compose, so an improvement lands everywhere at once instead of being reimplemented per agent.

Scaling across clients. Take a workflow that works for one client and make it run reliably for many, with per-client configuration, isolation, and failure that stays contained.

The Ideal Person for This Role

A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built AI systems people actually rely on.

An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once in a demo.

An owner. You take responsibility for outcomes, not just tasks. When an agent silently produces bad output, you catch it, fix it, and build the eval that stops it recurring.

Maniacal about detail. This is the one that matters most here. AI has made it trivially cheap to produce a large volume of plausible-looking work, and most of that work is slop. We are building the opposite: output that holds up when a client reads it line by line. If you'd rather ship one thing that is provably right than ten that are probably fine, this is your team. If you cannon volume and let the reviewer sort it out, it isn't.

Sceptical of your own output. You assume the model is wrong until measured. You've been burned by a demo that worked and a production run that didn't, and you build accordingly.

Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.

A first-principles thinker. You understand why things work, not just how. You can go five levels deep on eval design, prompt architecture, and where to put the human in the loop.

Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

5+ years in software engineering, with meaningful recent time on LLM-backed or ML-backed production systems, including 2+ owning a production system end to end.

Python, React, Typescript and strong systems fundamentals. You write production services, not notebooks.

LLM application engineering in production. Agents, tool use, structured outputs, retrieval, prompt architecture. You've shipped something real that used them and stayed up.

Evaluation systems. You've built eval suites for non-deterministic systems: golden datasets, regression gates, offline and online scoring. You've thought hard about what "correct" means when there are many correct answers.

Observability for AI systems. Tracing, run inspection, cost and token accounting. Langfuse, LangSmith, Braintrust, OpenTelemetry or equivalent.

Debugging non-determinism. You can diagnose why an agent failed on run 47 of 100 and turn that into a permanent check.

Pipeline orchestration. Airflow, Dagster, Temporal or similar. Retries, idempotency, partial failure, resumption.

Third-party API integration. Auth flows, rate limits, pagination, breaking changes. Not just calling endpoints, but handling the full operational reality.

Own your infrastructure. Containers, CI/CD, deployment, monitoring, credential management. No platform team to hand off to.

Product sense for expert users. You've built tooling that domain experts, not engineers, use daily. You know that an unexplained AI output is an unusable one.

Collaborative. You'll define contracts with the engineers who own the infra beneath you. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Browser automation or authenticated web agents (Playwright, Puppeteer, computer-use models)
• Applied ML: ranking, scoring, classification, or recommendation systems in production
• Python, React, Typescript
• Terraform, Kubernetes
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Technical Deep Dive
3. Reference Checks

Apply here https://tinyurl [dot] com/3tz4tkht

The Company:

It’s no surprise that 6sense is named a top workplace year after year — we have industry-leading technology developed and taken to market by a world-class team. 6sense is Top Rated on Glassdoor with a 4.9/5 and our CEO Jason Zintak was recognized as the #1 CEO in the small & medium business category by Glassdoor’s https://www.glassdoor.com/Award/Top-CEOs-at-SMBs-LST_KQ0%2C16.htm">2021 Top CEO Employees Choice Awards.

In 2021, the company was recognized for having the Best Company for Diversity, Best Company for Women, Best CEO, Best Company Culture, Best Company Perks & Benefits and Happiest Employees from the employee feedback platform Comparably. In addition, 6sense has also won several accolades that demonstrate its reputation as an employer of choice including the Glassdoor Best Place to Work (2022), TrustRadius Tech Cares (2021) and Inc. Best Workplaces (2022, 2021, 2020, 2019).

6sense reinvents the way organizations create, manage, and convert pipeline to revenue. The 6sense Revenue AI captures anonymous buying signals, predicts the right accounts to target at the ideal time, and recommends the channels and messages to boost revenue performance. Removing guesswork, friction and wasted sales effort, 6sense empowers sales, marketing, and customer success teams to significantly improve pipeline quality, accelerate sales velocity, increase conversion rates, and grow revenue predictably.

What we’re looking for:

• 4-9 years of working experience as UX Designer
• Experience with designing B2B SaaS applications
• Customer-centric design mindset
• Passion for creating products that resonate on an emotional level and drive
• business results
• Experience working on Martech, Adtech, or Salestech applications is a strong plus, but not mandatory
• Multiple concepts and iterations around user interaction models and workflows
• Wireframes, screen flows, prototypes
• Understand how design impacts customers and business
• Good at tracking business post design implementation to measure success and identify opportunities to enhance the experience
• Discovery: Work with PM to discover customer’s needs by doing customer research
• Define: Do competitive analysis and external trends analysis and define the problems, Usability Criteria and Critical Success Factor
• Design: Use different design frameworks to produce the customer-centric solution and deliver, personas, user scenarios/stories, storyboards, Journey Map, User Flows, Wireframes
• Deliver: UI with spec, communicate the rationale behind the design, help dev team move forward
• Online portfolio showing examples of real published work skills required
• A positive attitude; a collegial outlook; and the flexibility to work in a fast-changing environment — and a sense of humour is a plus for our team culture

In this role, you will:

• Articulate complex visions through simple and novel designs
• Engage with customers and learn quickly through iterative prototyping
• Participate in customer research and apply insights to generate designs that deliver customer delight
• Collaborate effectively with other designers, product managers, developers and marketers
• Design user interactions, workflows, and interfaces that meet feature user needs, customer feedback, and feature requirements.
• Solicit feedback and contribute constructively to design reviews
• Advance a strong point of view, backed up by customer data, design rationale, personal expertise, and industry trends

What you’ll bring to this role:

As a Product Designer and part of our UX team, you will collaborate closely with our Design, Product Management, Development teams and other cross-functional partners and customers. You will excel at this role if:

• You are highly skilled in all aspects of design: User Research, Information Architecture, Wireframing, Visual Design, and Usability Testing. Turning complex flows into simple and intuitive experiences and working on deliverables throughout the product life cycle to support design discussions, decision making, and development.
• You have B2B SaaS experience and have worked closely with product management development and analytics team to ensure the highest quality product delivery.
• You have the ability to put yourself in the user’s shoes, read between the lines of user feedback, and keep a constant drumroll of UX improvements.

We need someone who has imagination and vision, but who’s also able to buckle down to produce actionable designs. You’ll have smart, skilled, and personable colleagues — culture is as important to us as the final product. Our reputation and vision are the strongest in our market and we’re backed by a seasoned executive team to help navigate our continued year-over-year grEvery person in every role at 6sense owns a part of defining the future of our industry-leading technology. You’ll join a team where curiosity is prized, no one’s satisfied with the status quo, and everyone’s all-in on the collective good.6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure successby the value we create for our customers.

We want 6sense to be the best chapter of your career.

Feel part of something

You’ll be part of building tomorrow’s tech, revolutionizing how marketing and sales teams create, manage, and convert pipeline to revenue. And you’ll be seen and appreciated by co-workers who challenge you, cheer you on, and always have your back.

At 6sense, you’ll experience the passion from customers and colleagues alike for our market-leading vision, and you're entrusted with applying your unique talents to help bring that vision to life.

Build a career

As part of a company on a rocketship trajectory, there’s no way around it: You’re going to experience unparalleled career growth. With colleagues as humble and hungry as you are, and a leadership philosophy grounded in trust, transparency, and empowerment, every day is a chance to improve on the one before.

Enjoy access to our Udemy Training Library with 5,000+ courses, give and get recognition from your coworkers, and spend time with our executive team every two weeks in our All Hands gathering to connect, learn and ask leaders about whatever is on your mind.

Enjoy work, and your life

This is a place where you’ll do your best work and inspire others to do theirs — where you’re guaranteed to make real connections, for life, along the way.

We want to help you prioritize health and wellness, today and tomorrow. Take advantage of 100% employer-paid dental & vision; a monthly stipend to support your physical, mental, and financial wellness; generous fertility and adoption benefits; paid parental leave; short- and long-term disability insurance; and an employee assistance program. Plus, we have an open time-off policy, so take as much as you need.

Set for success 

A vision as big as ours only comes to life when we’re all winning together.

We’ll make sure you have the equipment you need to work at home or in one of our offices. And have the right snacks, pens or lighting with our work-from-home expense reimbursement allowance. We also partner with WeWork to make sure that if your choice is a hybrid of home and office, we have you covered in the locations they’re offered.

That’s the commitment we make to every one of our employees. If this sounds like a place where you'll thrive as you take your success to the next level, let’s chat!

Key Skills: Java, Node.js, React js, PHP , JSON, Mongo DB, Rest APIs, Word Press, Web Services, Mern Stack, Mean Stack, Express Framework, Bootstrap with Angularjs.

1. Overall 3 to 4+ years of experience is required with the following skills.
2. Strong knowledge of JavaScript, Nodejs, Angular. Expresses, Reactjs, AJAX, and jQuery
3. Good working knowledge of working database platforms like dynamo DB MYSQL and Mongo DB Experience
4. working on wasp user interface technologies HTML and JavaScript, Knowledge of web servers and app servers AWS and MongoDB.
5. You need to work in an agile cross-functional team to create a customer experience and implement high-quality code into production.
6. Work on bug fixes and improvement of application performance.
7. Hands on experience with a framework with Angular JS and Node JS
8. Hands on experience with utility library with jQuery lib, bootstrap.js, Angularjs, Bootstrap, Date Picker, canvasjs.min.js, Socket.io, Moment timezone.js
9. Good Knowledge of AWS Amazon web services.
10. Should be Proficient in Linux
11. Experience on Node.js and Json rest APIs developments and web services knowledge are highly preferred.
12. Knowledge of cross-browser platform issues and implementation is highly preferred.