Sr. Project Manager

What you’ll be doing

 Weare much more than our job descriptions, but here is where you will begin:

 As a Senior Software Engineer Data & ML You’ll Be:

 ● Architect, design, test, implement, deploy, monitor and maintain end-to-end backend

 services. You build it, you own it.

 ● Work with people from other teams and departments on a day to day basis to ensure

 efficient project execution with a focus on delivering value to our members.

 ● Regularly aligning your team’s vision and roadmap with the target architecture within your

 domain and to ensure the success of complex multi domain initiatives.

 ● Integrate already trained ML and GenAI models (preferably GCP in services.

ROLE:

 Whatyou’ll need,

 Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

 What Makes You a Great Fit

 ● 5 years of proven work experience as a Backend Python Engineer

 ● Understanding of software engineering fundamentals OOPS, SOLID, etc.)

 ● Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,

 Lang chain/LLamaIndex etc.

 ● Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being

 proficient in Python

 ● Hands-on Experience with frameworks such as Django or FastAPI or Flask

 ● Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)

 ● Extensive experience integrating with or creating REST APIs

 ● Experience with creating and maintaining CI/CD pipelines- we use GitHub Actions.

 ● Experience with event-driven architectures like Kafka, RabbitMq or equivalents.

 ● Knowledge about:

 o LLMs

 o Vector stores/databases

 o PromptEngineering

 o Embeddings and their implementations

 ● Somehands-onexperience in implementations of the above ML/AI will be preferred

 ● Experience with GCP/AWS services.

 ● You are curious about and motivated by the future trends in data, AI/ML, analytics

Job Details

- Job Title: Co-Founder & CEO / COO

- Industry: Advertising

- Function - Strategy

- Experience Required: 15-20 years

- Employment Type: Full Time

- Job Location: Delhi & Mumbai

- CTC Range: Best in Industry

Preferred Skills: Excellent Communication Skills, Business & Strategic Analytics, Business strategy and P&L, Client acquisition and new business, Client Leadership and Stewardship, Culture & DNA Creation, Overall agency direction and growth

Criteria:

1. Currently in a No. 2 / No. 3 senior leadership role at a reputed advertising or marketing agency.

2. Should have 15–20 years of experience in advertising, marketing, or integrated communications companies.

3. Proven track record in: Business growth and revenue management, Client relationship leadership and Team building at scale

4. Strong understanding of both traditional brand communication and modern digital ecosystems.

5. Proven experience owning revenue streams, key client relationships, and team leadership at scale.

6. Demonstrated track record of business growth, revenue expansion, and P&L ownership.

7. Strong history of leading new business acquisition, pitches, and senior client stewardship. 

Job Description 

Role Overview

The Co-Founder & CEO/COO will have full responsibility for Triton’s business, people, and market presence. 

This is a leadership role with direct ownership of:

• Culture & DNA Creation
• Business strategy and P&L
• Client acquisition and new business
• Client Leadership and Stewardship
• Overall agency direction and growth

The role is entrepreneurial in nature, with the backing of an established parent organization.

Key Responsibilities

1. Business & Strategy

• Define Triton’s positioning, service offerings, and go-to-market approach.
• Set short- and long-term growth plans aligned with profitability.
• Own the P&L and overall financial performance of the agency.
• Work closely with company leadership to leverage group capabilities where relevant.
•  

1. Client Leadership & New Business

• Lead senior client relationships and act as the primary face of the agency.
• Drive new business development and pitch strategy.
• Build a stable portfolio of retained and project-based clients.
• Ensure consistent quality of thinking, output, and delivery across accounts.
•  

1. Team & Culture

• Build and lead a senior leadership team across creative, strategy, and business.
• Attract strong talent and create a culture of accountability and ownership.
• Set clear performance standards while fostering a collaborative working environment.

1. Brand & Market Presence

• Re-establish Triton as a credible and respected agency brand in the industry.
• Build visibility through work, client success, and industry participation.
• Ensure the agency’s reputation reflects both creative quality and business maturity.
•  

Candidate Profile

The ideal candidate is likely to:

• Be currently in a senior leadership role (No. 2 or No. 3) at a reputed advertising or marketing agency.
• Have extensive experience leading new business processes, key client relationships, revenue streams, and handling teams.
• Possess strong commercial understanding alongside creative and strategic judgment.
• Demonstrate entrepreneurial intent and readiness to build an agency, having not previously had the opportunity to do so independently.
• Be comfortable taking full ownership and accountability for outcomes.
•  

Experience & Skills

• 15–20 years of experience in advertising, marketing, or integrated communications.
• Proven track record in:
• Business growth and revenue management
• Client relationship leadership
• Team building at scale
• Strong understanding of both traditional brand communication and modern digital ecosystems.
• High credibility with clients and peers in the industry.
• Good To Have:
• MBA in Marketing from a reputed institute
• A failed (or could even be successful :) entrepreneurship stint.
•  

Compensation Structure

The intent is to hire more of a Co-Founder/Business Partner than just a CEO/COO. Therefore, while there is openness to make this a worthwhile proposition, the ideal structure would have:

• A base fixed salary to take care of basic EMIs of life.
• Large performance variable component directly tied to revenue and business growth.
• Long-term upsides including group ESOPs that can be discussed and compensating the expectations on the base fixed salary
•  

Why This Role

• Opportunity to be an entrepreneur without having to start from ground zero and invest anything but your time.
• Entrepreneurial responsibility with institutional support and a legacy brand.
• Meaningful leadership role with long-term growth potential.
• Partnership-led structure rather than a conventional employment model.

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

The client provides a unique platform that aims to revolutionize the way direct-to-consumer (D2C) brands interact with their consumers in the offline & online spaces and grow their sales & profitability. 

The Product Manager will be responsible for the complete product life cycle, from early-stage research and ideation, through implementation & iteration based on business process definition and its key metrics.

We're dedicated to the agile methodology and are believers in lean product development. We are looking for people who are eager to deliver across the entirety of the product development lifecycle and areas. We are keen that you bring experience that you can impart to the rest of us but also are motivated to improve in many other skills and be humble enough to take the initiative to unlearn & learn.

Key Requirements

- Experience as a Business Analyst or as a product manager, preferably from a product development, product-based, or Tech Platform based company.

- Understanding Business Processes, Output, and Input Metrics is essential.

- Experience working closely with design and development teams in an agile software development environment.

- Communication, networking, and stakeholder management skills.

- Creativity in problem-solving combined with an anything is possible attitude.

- Ability to expertly marry qualitative and quantitative inputs to form deep customer insight.

- Ability to think long-term strategically as well as get engaged in the day-to-day execution details.

- Technical knowledge and ability to learn complex, technical topics quickly and articulate & explain them simply.

- Understand the trade-offs of implementation and help dev teams to make the right call.

- Passion for technology trends, emerging architectures, and fundamentals of creating a scalable and user-friendly system.

What You'll Do

- Drive the technical vision and roadmap for your product area with Backlogs assembled to create a world-class technology platform for retail & e-commerce. ( Phygital)

- Process Definition and detailing of requirements, workflow, user interfaces, business logic, and key business metrics (Input and Output).

- Able to map Epics, User Stories from the Business Requirements and Process Flows.

- Design & solidify the software development processes as the development processes are getting defined at this time.

- Use data to derive insights from usage and feature adoption.

- Hire and grow the team, while working alongside them

Preferred Skillsets:

• Understanding of e-commerce & Retail domain

• Expertise in Microsoft applications – Excel, Word, PPT, etc.

• Experience in Agile development tools like Confluence, JIRA, Redmine, etc.

• Strong written and verbal communication skills

Qualifications:

• B.E/MBA from Tier 1 /2 Institutes

• 4+ years of overall experience Desired, Min – 2 Years.

• Getting the business Requirement document from functional consultant / functional analyst.
• Analyse the business Requirement.
• Analyse the estimated time for development.
• Development of Object (ABAP application).
• Unit Testing by Developer.
• Releasing the object to test environment.
• Prepare technical document of the development.

Jr. Implementation Consultant

Responsibilities:

• Coordinate with clients and coordinate wiht team members to carry out configurations and initial instance set up.
• Understand client scenarios and suggest standard configurations

Skills Required:

• You would bring in excellent communication skills
• Excellent aptitude and analytical skills
• Strong interpersonal skills and interactive skills

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, PHP analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the PHP ecosystem.

• Identify bad code practices in PHP and write new rules to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in PHP.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with PHP best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.