Experience Requirements:

• 4+ years experience in office administration, HR operations, or a combined role

• Prior experience supporting a tech or startup environment

• Strong knowledge of India HR operations, payroll coordination, and statutory compliance

Other Requirements:

• Highly organized and detail-oriented

• Comfortable handling confidential employee information

• Excellent communication and interpersonal skills

• Enjoys being on-site

Responsibilities:

• Manage day-to-day operations of the Bangalore office

• Coordinate office vendors and manage office budgets

• Support end-to-end employee lifecycle for the India team

• Ensure compliance with India labor laws and company policies

• Work with global HR teams to implement policies locally

Education Requirements:

• Degree in Computer Science, Engineering, Data Science, or related field preferred

Experience Requirements:

• 12–14 years of product management experience

• Experience in SaaS, compliance, fintech, or enterprise software preferred

• Proven success managing products from discovery to launch in an agile environment

Other Requirements:

• Ability to translate regulatory/legal complexity into technical product requirements

• Strong communication and stakeholder management skills across technical and non-technical audiences

• Builder’s mindset – comfortable with ambiguity, eager to bring structure, and focused on outcomes

• Collaborative problem-solver who thrives at the intersection of technology and customer need

Responsibilities:

• Partner with the Head of Product to refine and execute the product roadmap

• Translate customer feedback and business needs into technical product requirements

• Prioritize features and enhancements based on business value, customer impact, and technical feasibility

• Act as a bridge between customers, internal SMEs, and development teams

• Partner with engineering to deliver scalable, cloud-native, multi-tenant data solutions

Education Requirements:

• UG: Any Graduate

• PG: Any Postgraduate

Experience Requirements:

• 4-6 years professional experience in Account Management

Other Requirements:

• Familiarity with the banking and financial services industry

• Proficient in Excel, MS Word, and PowerPoint

• Excellent verbal and written English communication skills

Responsibilities:

• Build, manage, and expand strategic accounts within your portfolio

• Develop long-term relationships with clients by mapping organizational hierarchies

• Identify and close new sales opportunities

• Develop and nurture relationships with key decision-makers (CXOs, BU Heads, Product Heads)

• Collaborate with front-end teams and business support functions for training programs

Education Requirements:

• Any Graduate / Postgraduate

Experience Requirements:

• 3–7 years in Customer Success, Account Management, or Solution Consulting

• Experience handling enterprise BFSI/fintech clients (preferred)

Other Requirements:

• Strong knowledge of SaaS, API-led solutions, digital KYC, fraud tech

• Hands-on experience with API testing tools (Postman, REST Assured)

• Understanding of REST APIs and SOAP services

• Familiarity with BI tools and data-driven analysis

Responsibilities:

• Drive client adoption of Digitap’s SaaS products and ensure smooth onboarding

• Educate and onboard clients, conduct POCs, and ensure smooth implementation

• Act as the primary point of contact for queries, escalations, and integrations

• Identify upsell/cross-sell opportunities across KYC, AML, Fraud, and Risk APIs

• Monitor client KPIs and product usage to recommend improvements

Education Requirements:

• MBA required, preferably from Tier I institute

Experience Requirements:

• 4-6 years’ direct selling experience in Technology Products/ Services / Solutions

• 2+ years SaaS experience preferred

Other Requirements:

• Experience and comfort in working with Finance and Fintech industry customers

• Ability to Manage conversation at CXO level

• Excellent selling, communication, and negotiation skills

Responsibilities:

• Open new accounts and sustain strategic customer relationships

• Deliver on tactical sales plans and set up meetings/demos

• Make Digitap.ai a top recall in the Fintech/NBFC/BFSI fabric

• Carry and hit sales targets

• Act as a bridge between customers and the product team for feedback

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor's or Master's in Computer Science or related fields

Experience Requirements:

• A minimum of 8+ years of experience using Rhino and Grasshopper

• Experience in AEC Industries

• Python expertise

• C# expertise, particularly with RhinoCommon

• Familiarity with the Grasshopper SDK

Other Requirements:

• A portfolio showcasing contributions to the physical world through computational design

• Experience with Visual Studio Code or similar development environments

Responsibilities:

• Collaborate with teammates to build modular, scalable solutions

• Develop custom API solutions for interoperability between multiple software platforms

• Create custom nodes in Python and C#

• Handle client data that may be sensitive or confidential with utmost care

• Collaborate directly with leaders of the computational design and engineering teams

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite (US)

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Expertise in semantic search and embedding models

• Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems

• Advanced model fine-tuning techniques

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models

• Develop and optimize cloud-native architectures (AWS, Kubernetes)

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary, equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in developing and implementing machine learning algorithms

• Advanced proficiency in Python (Scikit-learn, TensorFlow, PyTorch)

• Experience with advanced text mining methods

• Experience with Natural Language Processing (NLP)

• Experience with Large Language Models (LLMs) like GPT-3

Other Requirements:

• Practical experience with cloud services (AWS, Azure, GCP)

• Expertise in deep learning for NLP with Transformers

• Proficiency in ML experimentation and A/B testing

Responsibilities:

• Spearhead the creation and finetuning of sophisticated machine learning models

• Contribute to the seamless integration of Large Language Models

• Employ machine learning techniques to analyze vast datasets

• Implement algorithms to effectively cluster vast quantities of code

Education Requirements:

• Bachelor’s degree in electrical engineering or related

Experience Requirements:

• 5 - 7 years building large-scale data/ML systems

• Production experience with Python and Java/Scala/Go

• MLOps at scale experience

• Experience with AWS, Docker, Kubernetes

• Practical ML knowledge (training, evaluation)

Other Requirements:

• Vendor-agnostic thinker

• Systems thinking mindset

• Obsess over developer experience

Responsibilities:

• Build and run LLM control plane/gateway

• Ship unified API and SDKs

• Enforce safety and privacy by default

• Own the agent runtime and tool registry

• Evolve domain graph and entity resolution

Benefits:

• Equity: 0.5%–1%

Experience Requirements:

• 6+ years of experience

• 5+ years total experience

• 3+ years in Django/FastAPI/Celery

Other Requirements:

• US citizen/visa only

• Strong experience with Django, FastAPI, Celery

• Solid AWS skills (EC2, S3, Lambda, ECS, etc.)

• Hands-on experience with LLM/agentic systems and workflow orchestration

• Strong debugging, optimization, and system design skills

Responsibilities:

• Build the Creative OS powering winning ads at scale

• Design & scale high-performance backend systems

• Build data pipelines, async jobs, and distributed systems

• Own major product surfaces end-to-end

Benefits:

• Equity: 0.5%–1%

Experience Requirements:

• 6+ years of experience

• 5+ years total experience

• 3+ years in React/Next.js

Other Requirements:

• US citizen/visa only

• Strong experience with React, Next.js, TypeScript

• Product/design sensibility (Figma to polished UI)

• Ownership mindset — shipping fast, debugging across stack

• Experience integrating LLM/agentic workflows into UI

Responsibilities:

• Build the Creative OS powering winning ads at scale

• Own major product surfaces end-to-end

• Build complex dashboards and data-heavy UIs

• Shipping fast, debugging across stack

Benefits:

• A multicultural environment that promotes a healthy work-life balance

• An attractive remuneration package

• 15 days of annual leave

• A talented team from all over the world to work with

• Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing)

Experience Requirements:

• Experience in writing working software in Ruby (Ruby on Rails)

• Work experience with Scala (or Java, or Kotlin used for server-side applications)

• Passionate about high-quality software products

• Used SQL and you may even like it

• Hands-on experience with Kafka and stream processing

Other Requirements:

• Effective communicator in English (written and verbal)

• Able to adapt quickly to changing requirements and work with a bit of ambiguity

• You know your way around Linux

Responsibilities:

• Design, develop, and maintain our cloud system with the focus on availability, security, low latency

• Design and implement automated software tests

• Collaborate closely with firmware and mobile developers to deliver a great experience to our customers

• Take responsibility for the operations of the software in production

• Improve and clean up our codebase whenever there is an opportunity

Benefits:

• Transparent, fast, and thoughtful process

• Drive, curiosity, and grit valued

Experience Requirements:

• Exceeded $300K+ quotas in B2B SaaS

• Closed multiple $20K–$80K+ ARR deals

• Strategic stakeholder engagement

• Understand APAC buyer psyche

Other Requirements:

• Outbound prospecting

• Clear communicator

• Analytical and coachable

• Deal orchestration

• Multi-threading

Responsibilities:

• Own the entire sales cycle for APAC

• Source pipeline through outbound prospecting

• Qualify inbound interest

• Run high-quality discovery and product demos

• Work with marketing and product to refine messaging

Benefits:

• End-to-end ownership and technical autonomy

• Opportunity to build a generational AI Security product

• Work with a global team in a fast-moving, high-impact environment

• Competitive compensation and strong growth opportunities

Experience Requirements:

• Excellent experience with Python backend development

• Production level experience building solutions using with LLMs & Agentic AI systems(LangChain, LangGraph, PyTorch)

• Strong experience with Docker & Kubernetes in production

• Experience with MongoDB

• Strong understanding of GraphQL

Other Requirements:

• Experience with Terraform

• Knowledge of API security & rate limiting

• Experience with AWS, GCP, or Azure

Responsibilities:

• Design and build production-grade backend services in Python that power AI-driven security products

• Implement LLM-powered agent workflows for real-world AI Security use cases

• Design, implement, and maintain GraphQL APIs for internal and customer-facing systems

• Model, store, and optimize data in MongoDB for performance and scale

• Containerize applications with Docker and deploy, scale, and operate them using Kubernetes

Benefits:

• Professional development budget

• Exposure to founders and new technologies

• Full-stack ownership of customer programs

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

Other Requirements:

• Hands-on expertise with LLMs (GPT, BERT) and CV models

• Proficiency in Python and ML frameworks like PyTorch

• Knowledge of Cloud ML Platforms (Azure ML, Sagemaker)

Responsibilities:

• Fine-tune LLMs for healthcare applications

• Develop state-of-the-art VLM models for medical document analysis

• Create classic NLP models for patient interaction

• Manage model deployment in production environments

• Mentor junior staff

Benefits:

• Medical insurance

Benefits:

• Diversity and inclusion commitment

• University sponsorship for bright women from disadvantaged backgrounds

Education Requirements:

• Technical background (Data Science, Machine Learning, or Engineering)

Experience Requirements:

• At least 3-5 years industry experience in a commercial, customer-facing environment

• End-to-end AI/ML product lifecycle understanding

• Strategic planning, time management, and problem-solving

Other Requirements:

• Right to Work status required

• Keen learner

Responsibilities:

• Build and maintain relationships with users and decision-makers

• Translate customer industry challenges into product opportunities

• Own the customer onboarding journey

• Support the running of customer delivery teams

• Find the next useful thing to build for a customer

Experience Requirements:

• 2-5 years

Other Requirements:

• Strong hands-on programming experience in Python

• Working knowledge of Go (Golang)

• Experience building backend systems using frameworks such as FastAPI, Flask, or Django

• Experience designing and consuming REST APIs

• Strong understanding of Linux environments, Docker-based deployments, and hybrid/on-prem infrastructure

Responsibilities:

• Lead Augnito deployments across hospitals and enterprise healthcare networks

• Design and implement integrations with EMR/EHR systems and clinical platforms

• Develop APIs, middleware, and data pipelines to enable interoperability

• Write production-grade backend services using Python and Go

• Create deployment tooling, automation scripts, and observability utilities

Education Requirements:

• Chartered Accountant

Experience Requirements:

• 8+ years

• 8–15 years' experience

Other Requirements:

• Proven leadership in high-growth or startup environments

• Track record in cost transformation and capital planning

• Ability to scale teams and processes

Responsibilities:

• Design and maintain internal controls and accounting policies

• Deliver monthly MIS, variance analysis, and cashflow forecasts

• Partner with leadership on budgeting, pricing, and investor due diligence

• P&L ownership and monthly closures

• Statutory compliance and risk management of all entities