Deputy Area Manager - Sales

• Graduation in planning/ engineering /environment management / water resource management /planning / science and preferably with a master's degree in relevant field.

• Should have experience of working in sanitation projects. Herein sanitation will include both solid & liquid waste management.

• Assist in revision and conceptualization of other incremental interventions that will improve the experience of pilgrims.

• Support the Authority in Open Defecation Free (ODF) and odour free with adequate toilet facilities.

• Support in financial sustainability, including cost optimisation and improving overall performance of the Client.

• Assist in sector-wise citing of toilets in Mela area.

• Drafting SOPs for installation, Operation and maintenance of multiple inventories of toilets like FRP (Fiber-Reinforced Plastic) toilets, Stainless Steel toilets, Kannath Toilets, Mobile Toilets, Tin toilets, Urinals etc. ensuring compliance to NGT guidelines.

• Capacity building of the Swacchagrahis (Sanitation Volunteers) through regular trainings and orientations for Clean, Open Defecation Free and odour free Mela.

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

Key Responsibilities:

• Design high-quality graphics for social media, website, performance marketing campaigns, emailers, and other digital platforms.
• Create motion graphics, animations, reels, and promotional videos for marketing and branding initiatives.
• Collaborate with marketing, content, and product teams to develop compelling visual concepts.
• Edit and enhance videos for advertisements, social media, and corporate communications.
• Ensure brand consistency across all visual assets.
• Stay updated with the latest design trends, tools, and industry best practices.
• Manage multiple design projects while meeting deadlines.

Requirements:

• 2–5 years of experience in Graphic Design and Motion Design.
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro), CapCut, Runaway ML, Blender.
• Strong portfolio showcasing graphic design, video editing, and motion graphics work.
• Good understanding of typography, color theory, layout design, and visual storytelling.
• Experience creating content for social media platforms and digital marketing campaigns.
• Ability to work in a fast-paced environment and manage multiple priorities.

Preferred Qualifications:

• Knowledge of UI/UX design principles is a plus.
• Familiarity with tools such as Figma, Canva

We’re Hiring: School Business Manager – India

Remote | Commission-Based + Performance Bonuses

EdTech | LMS + ERP for Schools

⸻

Help Transform Education in India

Student Diwan is a global EdTech platform delivering a powerful, user-friendly LMS + ERP system built for modern schools. As we expand into India, we’re looking for passionate, results-driven professionals to help schools accelerate growth through modern digital solutions.

This is a remote, commission-based role to start, with strong earning potential and performance-based career growth — including the possibility of transitioning to a base-pay + commission model depending on your results.

⸻

Role Overview

We’re seeking a School Business Growth Specialist to drive our B2B engagement with schools — from identifying opportunities to building long-term partnerships.

⸻

Responsibilities include:

Connecting with school decision-makers (owners, principals, IT heads, directors)

Leveraging tools like LinkedIn, ZoomInfo, SignalHire, or personal networks for outreach

Conducting virtual product demos and impactful school presentations

Managing the full growth cycle: proposal → follow-up → negotiation → partnership closure

Providing regular feedback on school needs and market trends to our team

Meeting schools in-person, if needed, to strengthen trust and relationships

⸻

Requirements

Experience in B2B sales, education outreach, or school engagement (EdTech/SaaS a plus)

Strong English communication skills (Hindi or regional language fluency is a bonus)

Familiarity with digital outreach (email, LinkedIn, prospecting tools)

Confident in delivering presentations and addressing school stakeholders’ concerns

Goal-focused, reliable, and driven to support school growth

Based in Tier-1 or Tier-2 cities in India (Delhi NCR, Mumbai, Bangalore, Chennai, Pune, Hyderabad, etc.)

⸻

What You Get

Remote flexibility

Attractive Commissions (10–15%) + Performance Bonuses

Opportunity to move into a base salary + commission role after 4–6 months based on performance

Work with a fast-growing global EdTech company

Build strong, growth-focused relationships with India’s leading schools

⸻

Responsibilities:

● Support the entire application lifecycle (concept, design, test, release and support)

● Produce fully functional mobile applications writing clean code

● Gather specific requirements and suggest solutions

● Write unit and UI tests to identify malfunctions

● Troubleshoot and debug to optimize performance

● Design interfaces to improve user experience

● Liaise with the Product development team to plan new features

● Ensure new and legacy applications meet quality standards

● Research and suggest new mobile products, applications and protocols

● Stay up-to-date with new technology trends

Requirements and skills:

● Proven work experience as a Mobile developer

● Demonstrable portfolio of released applications on the App Store or the Android market

● In-depth knowledge of at least one programming language like Flutter Java

● Experience with third-party libraries and APIs

● Familiarity with OOP design principles

● Excellent analytical skills with a good problem-solving attitude

● Ability to perform in a team environment

● BSc degree in Computer Science or relevant field

You must have prior experience as an Android Developer using Kotlin, Java, Android SDK, Android NDK 

Strong knowledge in different versions of Android, and how to deal with different screen sizes 

Familiarity with RESTful APIs to connect Android applications to back-end services 

Strong knowledge of Android UI design principles, patterns, and best practices 

Experience with offline storage, threading, and performance tuning 

Proficient understanding of code versioning tools, such as Git 

Understanding of Google’s Android design principles and interface guidelines

Overview

At Netradyne, we are revolutionizing the conventional mapping paradigm with our Dynamic mapping technology. Our unique approach leverages computer vision, Edge Computing, and crowd sourcing to deliver rich, highly accurate content in real-time, critical to the successful development of maps

What you will be doing ?

You will work in a fast-paced environment including multiple platforms, architectures, and technologies. You will be responsible for

• Development of various cloud/web components to ingest, process, transform and visualize data at scale.
• Contribute to algorithm development and automated evaluation for measuring quality.
• Follow engineering best practices (unit testing, continuous delivery etc.)
• Deployment and monitoring of production ready infrastructure

Skills

• Strong analytical and problem-solving skills.
• 3-7 years strong programming experience in Python/Java .
• Hands on knowledge in at least one MVC and ORM frameworks.
• Familiar with at least one frontend framework i.e. React/ Angular
• Working knowledge of at least one RDBMS or NoSQL database.
• Exposure to Geospatial databases and tools like Qgis,OSM will be a plus

At BACQ, our mission is to build financial services that are simple, accessible and affordable.

BACQ is founded by Sachin Bansal & Ankit Agarwal to build consumer-centric and technology-driven businesses in the BFSI (Banking, Financial Services & Insurance) space.

• Work on the development backend systems for our first product
• Build reliable, secure and performant backend systems
• Drive test coverage and continuous delivery automation within the team
• Mentor and provide feedback to teammates

• 2+ years of software development experience
• Strong computer science fundamentals
• Good knowledge of Java ecosystem
• Can write code that is readable, maintainable and performant
• Know the importance of tests and how to approach writing different types of tests
• Good understanding of relational databases, transactions, entity-relationship modeling
• Comfortable writing multi-threaded programs

• Understanding of domain-driven design concepts like ubiquitous language, bounded contexts, aggregates and domain events
• Know how to use test driven development as a design tool 
• Good intuition for the principles underlying object-orientation, particularly encapsulation
• Understand the importance of immutability and of reducing the state-space of objects
• Seek to identify key underlying ideas and use those as building blocks before reaching for shiny new tools
• Have read some of our https://docs.google.com/document/d/18eWIOPYs0Hi8Kr4lXTtP_XMJp_4BrBzOd9Eui8v_l-c/edit?usp=sharing">favourite books