Lead - Art Direction (Graphics, Social Media, Digital) Top advertising

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

About Bostem: 

Blostem is backed by leading investors including Rainmatter (Zerodha), MobiKwik, AC Ventures, GrowX, and Blue Lotus and founded in October 2021. We provide a unified banking SDK and API that enables fintechs and financial institutions across India to embed financial products such as Fixed Deposits, Recurring Deposits, and more, directly into their apps without building backend infrastructure from scratch.

Our platform drastically reduces time-to-market: partners can go live in 7 days versus the traditional 9–12 months per bank integration. We handle regulatory compliance, bank onboarding, and reconciliation so our partners can focus entirely on user experience.

Job Summary: 

We are looking for a creative and detail-oriented Graphic Designer with 3 months to 1 year of internship or professional experience. The ideal candidate should not be a beginner or blank slate - they must already have hands-on experience with design tools and a basic understanding of design principles and workflows.

This role is ideal for someone who has worked on real projects (internship/freelance/full-time) and understands how creative concepts are translated into final deliverables.

Key Responsibilities:

• Design social media creatives, banners, posters, emailers, and marketing collaterals
• Create basic branding materials such as logos, brochures, and presentations
• Work closely with the marketing/content team to understand briefs and deliver creatives on time
• Adapt designs across multiple formats and platforms (digital & print)
• Make revisions based on feedback quickly and efficiently
• Maintain brand consistency across all creatives
• Prepare final files for print and digital publishing

Required Skills & Qualifications:

• 3 months to 1 year of internship or work experience in graphic design
• Proficiency in design tools such as:
• Adobe Photoshop
• Adobe Illustrator
• Figma
• Canva (basic understanding)
• Basic understanding of:
• Typography
• Color theory
• Layout and composition
• Branding fundamentals
• Understanding of file formats, resolution, and print basics
• Ability to manage multiple tasks and meet deadlines
• Good communication skills and openness to feedback

Good to Have:

• Basic knowledge of video editing tools (Da Vinci /Premiere Pro /After Effects)
• Experience working on social media campaigns
• Basic UI/UX understanding
• Portfolio showcasing real projects (internship/freelance/live projects preferred)
• Experimented with AI workflows (Runway, Midjourney, Lottie, Veo etc)

What We Expect:

• Someone who already understands how creative workflows operate
• Ability to understand a brief without extensive hand-holding
• Proactive mindset and willingness to learn
• Attention to detail and creative thinking

At Revv, we are redefining the self-drive experience by offering our customers convenient, flexible, and innovative ways to rent cars. Our mission is to deliver seamless mobility solutions through cutting-edge technology and exceptional customer experiences.

We are looking for a Senior Product Manager to lead the development and execution of our product vision. In this role, you will collaborate with cross-functional teams, analyze market trends, and leverage data-driven insights to build impactful products that enhance the self-drive experience. If you are passionate about solving customer problems, driving product innovation, and scaling products that make a difference, we’d love to hear from you!

As a Senior Product Manager, you will own and drive the product lifecycle from ideation to launch and beyond. You will work closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative products that meet customer needs and align with our business goals. This role requires strategic thinking, customer empathy, and a proven ability to execute in a fast-paced environment.

Responsibilities:

• Product Strategy and Roadmap: Define and prioritize the product roadmap in alignment with company objectives and market needs.
• Market Research and Customer Insights: Conduct thorough market research and analyze customer feedback to identify opportunities and gaps.
• Cross-functional Collaboration: Work closely with engineering, design, and business teams to define product requirements and ensure timely delivery.
• Product Development: Lead the product lifecycle from concept to launch, ensuring high-quality deliverables.
• Performance Metrics: Define, monitor, and analyze key performance indicators (KPIs) to measure product success and inform future enhancements.
• Stakeholder Communication: Communicate the product vision, progress, and performance to internal and external stakeholders effectively.
• User-Centric Focus: Advocate for the customer at every stage of the product development process to ensure the best possible user experience.

Requirements:

• Experience: 4-6 years of experience in product management, preferably in [ConsumerTech, Ecommerce or Mobility ].
• Education: Bachelor's degree in [relevant field, e. g., Business, Computer Science, or Engineering]; MBA is a plus.
• Strategic Thinking: Proven ability to define a vision and execute a product strategy to achieve business outcomes.
• Technical Acumen: Solid understanding of technology and the ability to work closely with engineering teams.
• Analytical Skills: Strong data-driven decision-making skills with the ability to translate insights into actionable strategies.
• Leadership: Experience leading cross-functional teams and managing stakeholders at all levels.
• Communication: Excellent verbal and written communication skills.
• Adaptability: Thrives in a fast-paced, agile environment with the ability to manage multiple priorities effectively.

Mandatory skills- PHP, Laravel, Rest API

Develop, record and maintain cutting edge web-based PHP applications on portal plus premium service platforms.

Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team

Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications.

Prepare and maintain all applications utilizing standard development tools

Utilize back end data services and contribute to increase existing data services API

Lead the entire web application development life cycle right from concept stage to delivery and post launch support

Convey effectively with all task progress, evaluations, suggestions, schedules along with technical and process issues

Document the development process, architecture, and standard components

Coordinate with co-developers and keeps project manager well informed of the status of development effort and serves as liaison between development staff and project manager

Keep abreast of new trends and best practices in web development

Communicate with other backend and front end engineers

Create and deploy web apps using the Laravel framework

Create server-side logic to handle front-end inputs

Identify and correct flaws identified in the code

Work with SQL databases

Ensure that all database inputs have been parameterized

Ensure that the relevant security standards are in place

Make sure you've built unit test cases to ensure your code is operating as intended and to avoid potential security issues

Create written documentation for each component

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

• 3 - 6 Years of Experience in Golang Development
• Understands requirements well and comes up with an efficient design
• Develops complex, well-backed and bug-free products.
• Estimates accurately.
• Takes well-reasoned tech decisions keeping in mind goals and trade-offs
• Become a go-to person in more than one area. Provide technical mentoring to team
• Communicates clearly, gets clarifications, and establishes expectations for all parties
• Helps establish SDLC best practices and high standards of code quality
• Demonstrates excellent problem solving & debugging skills
• Proactively identifies and resolves issues in requirements, design, and code

Ideal Candidate Profile:

• Solid experience in Golang is a must.
• Solid understanding of Apache Products.
• Should have experience in cloud computing (AWS is desired).
• Has an ability to quickly learn and contribute in multiple codebases
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into the codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces the right tech/ tools for a given job
• Excellent understanding of software engineering practices,
• Design Patterns, Data Structures, Algorithms
• Experience in product-driven organization

● Understanding of MVC design patterns

● At least 1 Year of Laravel, PHP experience is a must

● HTML 5, CSS 3, JavaScript, jQuery, Bootstrap

We are looking for an Android developer interested in building performant mobile apps on Android platforms. You will be responsible for architecting and building the applications, as well as coordinating with the teams responsible for other layers of the product infrastructure.

Requirements

• Build pixel-perfect, buttery smooth UIs Android platform.
• Leverage native APIs for deep integrations with Android platform.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixes.
• Maintain code and write automated tests to ensure the product is of the highest quality.

Skills

• Firm grasp of the Kotlin language and its nuances.
• Knowledge of functional or object-oriented programming Ability to write well-documented and clean code.
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools, like Gradle , Android Studio, IntelliJ and Play console. Understanding of REST APIs, the document request model, and offline storage

Interpersonal Skills

• Self-motivated, team player, action--and-results oriented.
• Well organized, good communication and reporting skills.
• Ability to successfully work under tight project deadlines.

          Experience in Kotlin is mandatory .

• Identifying business opportunities by hunting, qualifying prospects, and evaluating their position in the industry.
• Actively reaching out to leads over various channels and converting them for sales
• You must be skilled at generating your own leads through various channels, networking, and driving your territory.
• Developing relationships with prospects and recommending company "real money gaming" products and solution through a consultative approach
• Capable of generating leads via various sources building a solid pipeline, doing thorough research around possible suspects, and qualify them.
• Create processes to optimize or automate the current processes and acting as a mentor to the new joiners in the team
• Helping prospects make an informed decision by providing support, information, and guidance upon developing a thorough understanding of the company products and overall industry
• Contribute to the overall strategy and initiatives taken up by the B2B vertical
• Identifying product improvements or new opportunities based on industry trends, market activities, and competitors
• Handling multiple clients concurrently and keep a track of all client transactions
• Contributing to team effort by accomplishing related results by adhering to delivery deadlines - Working cross-functionally to positively collaborate with colleagues
• Liaising and communicating client needs/requirements with senior management
• Forecasting, tracking sales metrics, and preparing sales plans
• Document every minute detail from inception to completion

• Prior B2B sales/ business development etc. experience
• Excellent communication skills- written & verbal both (English is a must)
• Good analytical skills & business sense
• Able to create varied business propositions, pitches according to the audience

• ication Form