Technical Product Writer

Job Summary:

We are looking for a creative and detail-oriented Video Editor to join our team. The ideal candidate should have a strong understanding of video editing techniques, storytelling, and visual aesthetics. The Video Editor will be responsible for assembling recorded footage into engaging videos that align with our brand vision and marketing objectives.

Key Responsibilities:

• Edit raw footage into high-quality, engaging video content
• Trim footage segments and combine sequences smoothly
• Add music, sound effects, graphics, and transitions
• Ensure consistency in branding, style, and tone
• Collaborate with the marketing and content teams for campaign requirements
• Review and revise videos based on feedback
• Manage multiple projects while meeting deadlines
• Maintain an organized library of video assets

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

We are looking for a dynamic, target-driven Admissions & Sales Specialist to join our Admissions Team. This role is perfect for someone who enjoys speaking with people, understanding their learning needs, and helping them choose the right music course. If you have a flair for sales, love music, and thrive in a fast-paced environment — we want to hear from you!

Location: Onsite – Bangalore

Work Schedule: Selected candidates would need to be flexible with timings

Experience Required: 1-2 Years

Industry: Education / Music / E-learning

Engagement: 

Option 1 - Full-time. As per office timings

Option 2 - weekends - as a part time employee with compensation in commissions

Skills/Qualifications:

• Excellent verbal and written communication skills in English
• Strong interpersonal skills with a proactive approach to learning
• Highly motivated and persistent in converting leads into enrollments
• Adept at understanding and addressing client needs with a customer-centric approach
• Proficient in Word, Excel, and similar spreadsheet tools; quick to adapt to new software
• Ability to work effectively both independently and as part of a team

Requirements:

• Bachelor’s degree in any field (Education, Marketing, or Communications preferred).
• Prior experience in admissions, sales, counselling, or customer service.
• Strong interpersonal and communication skills (verbal and written).
• Passion for music and education is a plus.
• Ability to multitask and work in a fast-paced environment.
• Proficiency in Google Workspace and CRM software.

Responsibilities:

• Handle inbound and outbound calls, addressing inquiries from prospective students interested in Shankar Mahadevan Academy’s online courses.
• Conduct 80-100 calls per day, engaging potential students with professionalism and enthusiasm.
• Effectively communicate course offerings, guiding students toward the best program based on their interests and goals.
• Follow up promptly via phone, chat, and email to nurture leads and ensure a seamless enrollment experience.
• Maintain accurate records of admissions and provide regular updates to the Admissions Manager.
• Consistently meet and strive to exceed monthly enrollment targets.

Why Join Us?

• Be part of a globally recognized music academy.
• Work in a creative and inspiring environment.
• Opportunities for career growth and professional development.
• Competitive salary and performance-based incentives - you convert more, you make more

Dynamic CRM Develoepr

Experience - 8+yrs

Location Pan india 

Required Skills & Qualifications:

Bachelor’s degree in computer science, Engineering, or related field.

8+ years of professional experience in Dynamics 365 CE/CRM development.

Strong hands-on expertise in:

C# plugin development

Custom workflow activities

JavaScript, HTML, CSS

Dynamics 365 CE SDK & Dataverse

Deep understanding of CRM concepts: entities, form scripting, security model, solution management.

Experience automating business processes using Power Automate (Cloud Flows, Desktop optional).

Knowledge of REST/ODATA APIs, Azure AD authentication, and integration patterns.

Experience with Azure DevOps/Git for version control, ALM, and solution deployment.

Strong debugging, problem-solving, and performance optimization skills.

Key Responsibilities:

Design and implement customizations, configurations, and extensions in Dynamics 365 CE/CRM.

Develop C# plugins, custom workflow activities, and Azure functions to support advanced business logic.

Create and enhance JavaScript, HTML, and web resources for UI customization and improved user experience.

Build and maintain Power Automate flows for business automation, integrations, and data orchestration.

Configure entities, forms, views, business rules, business process flows, and security roles.

Integrate CRM with external systems via APIs, Azure services, or custom connectors.

Analyze business requirements and translate them into scalable CRM solutions.

Optimize system performance, troubleshoot issues, and provide long-term technical support.

Collaborate with functional consultants, testers, and business stakeholders to ensure high-quality delivery.

Support solution deployments using DevOps pipelines, solution layering, and best practices.

Maintain documentation and follow coding, security, and version control standards.

C#.Net Core & ASP.NET Core & WebAPI (RESTAPI) Bengaluru, India

Job description

Responsibilities: Design, development, and maintenance of Industrial Automation Software applications ➢ Analyze and understand the functional/non-functional requirements. ➢ Understand the high level design and ability to translate to low level design and implementation ➢ Implementation of complex modules with high quality and clean coding. Desired Skills and Experience 4-8 years of hands on experience in Software /Technology Development Must Have: ➢ Proficiency in C# .Net, ASP.NET, Web API, JSON ➢ Proficient in Object Oriented Analysis and Design, SOLID Principles, Design Patterns etc. ➢ A good understanding of SOA, Client-Server architecture. ➢ Must have good knowledge of multi-threading concepts ➢ Development experience in Visual studio 2019 ➢ Systems thinking, technical acumen, analytical skills and communication skills. ➢ Testing skills (Unit testing, Integration testing). ➢ Adoption of AGILE development methodologies such as SCRUM in recent projects ➢ Quality mindset and attention to detail in all aspects of software engineering and development ➢ Exposure to DevOps and Git in recent projects.

Responsibilities:

• Respond promptly and professionally to client inquiries via phone, email, or live chat.
• Handle a high volume of incoming emails and prioritize them based on urgency and importance.
• Provide accurate and timely information to clients, resolving their issues and addressing their concerns effectively.
• Demonstrate leadership qualities by assisting junior team members, providing guidance, and fostering a positive work environment.
• Manage backend processes related to customer support, ensuring smooth operations and timely resolution of issues.
• Collaborate with other departments, such as Sales and Product Development, to address client needs and improve overall customer satisfaction.
• Proactively identify opportunities for process improvement and implement solutions to enhance the efficiency of the support team.
• Maintain a high level of activity and engagement, ensuring that all client inquiries are handled promptly and efficiently.

Requirements:

• Bachelor's degree in Business Administration, Communication, or a related field.
• Excellent communication skills, both verbal and written, with a strong command of the English language.
• Ability to multitask and prioritize tasks effectively in a fast-paced environment.
• Strong leadership qualities, with the ability to motivate and inspire team members.
• Proficiency in backend processes related to customer support, including ticketing systems and CRM software.
• Demonstrated ability to work independently and as part of a team, with a proactive and solutions-oriented mindset.
• Flexibility to work shifts, including evenings and weekends, as needed.
• Experience in [specific industry or software], preferred but not required.

Job description

• Experience working on Ful-time, c2c, W2-contract
• Candidates should have Good Knowledge and an overview of all Technologies in the market.
• Candidate should have strong experience in serving Corp-Corp requirements for Direct clients
• Facilitate the full lifecycle recruitment process for candidates by walking them through each step
• Experienced in all aspects of full-cycle recruiting to include requirement gathering, sourcing, resume evaluation, phone screening, interviewing, salary, and extending offers.
• Accuracy and the ability to follow through, capable of working independently in a high volume, fast-paced, deadline-oriented situation.