Marketing Manager / Senior Marketing Manager

Founding Engineer (Bangalore)

The problem:

Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.

What you will own

Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:

• A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works
• An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output
• A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies
• ERP connectors, GST validation logic, and a write-back layer that closes the loop

What we need

• Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load
• Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast
• LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed
• Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person
• Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are
• You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke. That pattern needs to be visible in your history

Good to have, not mandatory

• Built an agentic pipeline with multiple stages
• Any fintech, P2P domain experience - even tangential
• Worked at a startup with under 20 people
• Has a GitHub, blog, or writeup that shows how you think about a hard technical problem

What you get

• The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on
• Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now
• Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise
• No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why

Honest about stage: We do not have a production ready infra yet. We have a complete architecture specification and a working prototype. If you need the stability of an established engineering org, this is not the right moment. If you want to build something real from zero and own a meaningful piece of it, it is.

The founders

One of us has spent 20 years building revenue and operational engines at companies where there was no playbook - part of the pilot team that established the world's largest search company's direct sales operations in India, managed global operations for a global mobile advertising platform, scaled a B2C platform to become one of India’s leading edtech platforms and most recently worked on building an enterprise Agentic Voice AI platform. The other has spent 15 years taking AI from demo to production in domains where failure is expensive - voice, lending, and conversational systems across a Series D conversational AI company, a major telco, a Big 4, and a leading NBFC.

Two IIT/IIM alumni who have both watched AI work in enterprise, and know exactly what it takes to get it there. We are not building this product because it sounds interesting. We are building it because we have both sat across the table from CFOs who know they are losing margin and have no tool capable of doing anything about it.

Job Title: Process Executive – Voice (Digital Marketing Support)

Location: Gurgaon And Hyderabad

Work Schedule: Rotational Shifts 

Experience:

Freshers with Certification in Digital Marketing

Experienced: 0 to 6 Months in Digital Marketing (Preferred)

Job Summary:

We are hiring for the role of Process Executive – Voice with a specialization in Digital Marketing Support. This role involves providing voice-based customer and client support for digital marketing platforms, tools, and campaigns, including handling complex technical queries and contributing to platform optimization.

Key Responsibilities:

* Act as the first point of contact for advertisers and marketers using digital platforms.

* Handle voice-based queries related to campaign performance, ad delivery, billing, targeting, and account configuration.

* Resolve complex technical and platform-related queries via voice support.

* Collaborate with internal teams to escalate and resolve advertiser issues in a timely manner.

* Detect and track app/platform defects and inconsistencies.

* Provide consultation and guidance on best practices for campaign optimization.

* Contribute to continuous improvement by identifying root causes of recurring issues and suggestions

Sales Associate

Company Description

Miko is an advanced artificial intelligence innovation lab with a mission to bring AI and robotics to every consumer home. Headquartered in Mumbai, India, our workforce spans several countries, including the United States, Canada, Europe, and the Middle East. To check out various product offerings, visit Miko's website

Position Introduction:

- Generate revenue by demonstrating our product in Hamleys store and closing sales either over the phone or face-to-face.

- Work with cutting-edge technology designed to reduce kids' screen time while making learning fun at an early age.

- Successful candidates may have opportunities for training, leadership roles, and managing key business accounts.

Responsibilities:

- Explain Miko Robot benefits to customers.

- Suggest suitable apps and features to the customers.

- Handling stocks.

- Coordinate within the teams.

- Provide daily sales reports and customer service.

- Meet monthly sales targets by demonstrating and selling the product in Hamleys store.

- Convert free app users into paid customers through emails, SMS, and direct sales.

Requirements:

- Good communication skills in English and regional language.

- Ability to plan and execute tasks.

- Persuasion and negotiation skills.

- Work well under pressure.

- Team player.

- Quick learner, detail-oriented, and self-motivated.

- Interest in marketing.

- Enthusiasm for technology.

Work Timings: 6 days a week and 9 hours a day (11am to 8pm/12pm to 9pm)

Working on Saturday and Sunday's is mandatory (No exception for this)

One day in a week will be declared as week off.

Openings at: Mumbai Onsite (BKC, Jio World Drive), Bangalore Onsite (Phoenix Market City), Kochi- (Lulu Mall), Hyderabad (Sarath City and Inorbit Mall)

-An Associate Product Manager assists in the development and execution of product strategies.

-Responsibilities include market research, collaboration with cross-functional teams, assisting in product planning, and supporting the product lifecycle.

-Additionally, they may contribute to the creation of product roadmaps, gather and analyze user feedback, and aid in the coordination of product launches.

DataPower With APIC Development and Admin skills with Python or shell script
Exp.level: 4 - 7 Years

• IBM Cloud Pack- API Connect Developer:

• Data Power virtual appliance on Docker containers within Kubernetes cluster.

• setup API Connect Cloud manage

• setup Portal and analytics endpoints for the APIs to give more data analytics to the application teams.

• Register and troubleshoot Gateway Service with API Connect Gateway object on Data Power appliance

• Configure Mutual Authentication mechanism by creating Identification Credentials and Validation credentials to validate the server certificates

• Create organizations in API Connect to provide the architecture to create APIs using API connect manager

• Ability to create spaces and products on APIC and support multiple teams using them

• Knowledge of concepts and implementation of these on APIC – JWT, Bearer, Basic AUTH

• Integration with LDAP and troubleshooting

• WTX, COBOL Copybook, XML, XSL, Gateway scripting

• Networking concepts and integration with AWS concepts like VPC, NLB, etc

• Cloudwatch integration