Strategic Partnerships Associate – AI & Platform Partnerships

Key Responsibilities

• Identify, evaluate, and onboard strategic partners (technology, channel, reseller, and referral partners).
• Develop and execute the partnerships strategy aligned with company growth goals.
• Build and maintain strong relationships with key partner stakeholders.
• Drive joint go-to-market (GTM) initiatives including co-marketing, co-selling, and integrations.
• Negotiate partnership agreements, commercial terms, and SLAs.
• Enable partners through training, certification, and sales support.
• Track partnership performance, pipeline contribution, and revenue impact.
• Collaborate cross-functionally with Product, Sales, Marketing, and Customer Success teams.
• Monitor industry trends and identify new ecosystem opportunities.
• Represent the company at partner events, webinars, and industry conferences.

Required Qualifications

• Bachelor’s degree in Business, Marketing, Technology, or related field.
• 4–8 years of experience in partnerships, business development, or channel sales in a SaaS environment.
• Strong understanding of SaaS business models and partner ecosystems.
• Proven experience in negotiating and closing partnership deals.
• Excellent communication, presentation, and stakeholder management skills.
• Experience with CRM tools (Salesforce, HubSpot, etc.).
• Data-driven mindset with strong analytical skills.

About the Company

The client is revolutionising the way businesses operate through cutting-edge technological solutions. Their focus is on developing intelligent agents and agentic workflows that automate processes and eliminate the need for human effort wherever possible. By leveraging

advanced AI and machine learning, they create systems that enhance productivity and drive efficiency.

Their expertise extends to the fintech, healthcare and medical technology sectors, where they develop innovative solutions that improve patient outcomes and streamline medical operations.

From medical devices to healthcare platforms, their work sits at the intersection of technology and medicine, pushing the boundaries of what's possible. The team is dedicated to continuous learning and growth, ensuring the team members are always at the forefront of the tech landscape.

About the Role

This is a senior, hands-on engineering role at the heart of our product team. You will be one of the most technical people in the room — setting the architecture for our real-time voice AI

agents and building the hardest parts of it yourself. From the systems that power live conversations to the interfaces our clients rely on, you will own how the product is engineered end to end.

We are looking for a genuine lead full-stack engineer with the depth to make architecture decisions that hold up as we scale, and the appetite to still be in the code every day. You should be as comfortable designing the backend services behind a live voice agent as you are shaping a clean interface on top of them — and comfortable being the person others turn to when something is hard.

You will work directly with the founder and product leadership on a fast-moving product, with real influence over technical direction. This is a role for someone who wants ownership at the level of "how the whole thing is built," not just individual features — and who raises the bar for

everyone around them.

What You'll Own

Set the technical direction

• Own the architecture of our core systems — the real-time voice agents, backend
• services, data and APIs — making the decisions that keep the product fast, reliable and scalable as it grows.
• Lead the hardest engineering problems and solve them personally.
• Establish engineering standards — code quality, review practices, testing and technical patterns that the team builds to.
• Drive technical strategy with the founder and product leadership — shaping the roadmap, flagging risk early, and turning product ambition into a sound technical plan.

Build the product end to end

• Design, build and ship features across the stack — backend services, APIs and front-ends — owning them from idea to production.
• Build the client-facing surfaces — dashboards, review tools and configuration interfaces that let our clients run and trust the product.
• Design and evolve the data models and APIs that hold up as we scale across clients.

Make it reliable and fast

• Own production quality — put the monitoring and alerting in place so issues are caught before clients feel them, and performance stays within target.
• Care about performance — find and fix bottlenecks across the stack.
• Build for correctness — put the testing and evaluation in place that keeps the product behaving predictably as it changes.

Lead through the team

• Mentor and grow engineers — through code review, pairing, and setting a technical example others learn from.
• Multiply the team's output — unblock others and lift the overall quality of the codebase.
• Take features from ambiguity to done — turn a rough product goal into a shipped, working capability with minimal hand-holding, and help others do the same.

What We're Looking For

• 8+ years of professional software engineering experience, with significant depth across backend and a track record of owning systems, not just features.
• Strong backend engineering, ideally in Python — building and scaling production services and APIs..
• Proven architecture and system-design ability — you have designed systems that scaled, and can reason clearly about trade-offs.
• Solid fundamentals across APIs, databases and cloud infrastructure.
• Experience building real-time and/or AI-powered products — or clear, demonstrable ability to lead in this area.
• A history of technical leadership — setting standards, mentoring engineers, and being trusted with the hardest problems — while remaining hands-on.
• Excellent communication and a genuine ownership mindset — someone who can be handed an ambiguous, high-stakes problem and be trusted to see it through.

Nice to Have

• Experience working with AI / large language models in production.
• Experience with voice or other real-time products.
• Exposure to healthcare, fintech, or other regulated / high-stakes domains.
• Experience as an early or senior engineer in a startup, where you set direction and wore many hats.

Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.

About the Role

You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.

You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system.

Four behaviors define this role:

1. Go where the work happens. You work onsite with the customer, in the room where decisions are made.
2. Show working software early. You build a prototype in days, not a document in weeks.
3. One person owns the outcome. You are the single point of accountability for the result.
4. Stay after go-live. You keep running and improving the system after launch.

You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.

This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.

What you'll own

1. Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
2. The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
3. The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
4. The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
5. The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
6. Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
7. Feedback to the product - Share what you learn in the field so our platform and internal tools get better.

What we are looking for

1. Around 7 or more years of software engineering experience, including customer-facing or client delivery work.
2. Experience working at a consulting or professional services firm in a client-facing delivery role.
3. A full-stack development experience with strength in backend technologies.
4. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
5. Production experience with large language models, including prompt engineering and agent development.
6. You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.
7. Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
8. Experience building and deploying AI systems.
9. Experience integrating with APIs and enterprise systems.
10. Experience with at least one cloud platform (AWS, Azure, or GCP).
11. Experience building evaluations to measure accuracy, safety, latency, and cost.
12. Clear communication. You can explain a technical choice to an engineer and to a business leader.
13. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
14. Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.

Nice to have

1. Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
2. Experience with on-premises or private cloud (VPC) deployments.
3. Experience with observability and tracing tools such as LangSmith or Braintrust.
4. Experience with data engineering and pipelines.
5. A history of side projects, open source contributions, or products you shipped end-to-end.
6. Experience in embedded or forward-deployed roles before.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

About E2M:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing .Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together .If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

• Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.
• Assess client requirements and prepare solution strategies using AI tools and methodologies.
• Work with internal teams to design, propose, and help execute AI-powered solutions.
• Provide AI-based recommendations that align with the client’s business objectives.
• Communicate technical possibilities in a business-friendly manner to decision-makers.
• Take ownership of the client journey from discovery to implementation and support.
• Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:

• Minimum 2+ Years of hands on experience into Custom AI Development.
• Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.
• Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologies).
•  Some hands-on experience in AI projects – either through execution, coordination, or implementation.
• Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.
•  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.
• Flexible to work with international clients, especially in the US time zone as needed.

Job Description – Channel Partner Department: Business Development / Partnerships Designation: Channel Partner Location: Bangalore / Bengaluru Employment Type: Full-time Experience: 2–6 years Industry: Fintech / Financial Services / Investments About the Role

We are looking for a driven and relationship-oriented Channel Partner to build, manage, and grow our network of strategic channel partners. The role will involve identifying potential partners, establishing strong business relationships, onboarding them, and driving revenue through partner-led business. The ideal candidate should have strong communication and relationship-management skills, a business development mindset, and an understanding of the financial services or fintech ecosystem.

Key Responsibilities

1. Partner Acquisition

* Identify and onboard new channel partners aligned with the company's business objectives. * Build a strong pipeline of prospective partners through market research, networking, referrals, and direct outreach. * Conduct partner meetings, presentations, and product/business discussions. * Evaluate partner potential based on market reach, customer base, business capability, and revenue potential.

2. Partner Relationship Management

* Develop and maintain long-term relationships with existing channel partners. * Act as the primary point of contact for partners and address their business and operational requirements. * Understand partner needs and identify opportunities for deeper collaboration. * Conduct regular partner reviews and business discussions to drive engagement and productivity.

3. Business & Revenue Growth

* Drive business generation through the channel partner network. * Set and track partner-wise business targets and performance. * Identify opportunities to increase partner contribution and customer acquisition. * Develop initiatives to improve partner activation, productivity, and retention. * Work closely with internal sales and business teams to ensure timely execution and closure of opportunities.

4. Partner Enablement * Ensure partners have a clear understanding of the company's products, processes, and value proposition. * Coordinate product training, onboarding sessions, and sales enablement initiatives. * Provide partners with relevant product information, marketing material, and sales support. * Gather market and partner feedback and share actionable insights with internal teams.

5. Market Development * Identify new markets, partner segments, and business opportunities. * Track competitor activity, market trends, and partner expectations. * Build a strong understanding of the fintech and financial services ecosystem. * Develop strategies to expand the partner network and increase market penetration.

6. Cross-functional Collaboration

* Work closely with Sales, Product, Operations, Marketing, Compliance, and Customer Success teams. * Coordinate partner onboarding and ensure documentation and compliance requirements are completed. * Resolve partner-related operational issues by coordinating with relevant internal stakeholders. * Maintain accurate partner data, pipeline updates, and business reports.

7. Key Performance Indicators (KPIs)

* Number of new partners onboarded * Partner activation and productivity * Partner-generated revenue/business volume * Revenue contribution per partner * Partner retention and engagement * Conversion rate of partner-generated leads * Achievement of monthly/quarterly business targets * Expansion of the active partner network

Requirements *

2–6 years of experience in Channel Sales,

Partner Management, Business Development,     Partnerships, or Relationship Management. * Experience in **fintech, financial services, investments, lending, wealth management, insurance, or related industries** is preferred. * Proven ability to build and manage external business relationships. * Strong communication, negotiation, and presentation skills. * Ability to identify business opportunities and convert them into partnerships. * Strong commercial understanding and target-oriented approach. * Comfortable working in a fast-paced and entrepreneurial environment. * Good analytical and problem-solving skills. * Willingness to travel for partner meetings and business development, when required.

What We Are Looking For

* Strong ownership and execution mindset. * Relationship builder with the ability to establish trust with partners. * High energy and proactive approach to business development. * Ability to work independently and manage multiple partner relationships. * Strong negotiation and stakeholder-management capabilities. * Customer and partner-first approach. * Ability to turn partnerships into measurable business outcomes.

Why Join Us?

* Opportunity to work in a fast-growing fintech environment. * Exposure to the fintech and financial services ecosystem. * Opportunity to build and scale strategic partnerships. * High ownership and visibility across business functions. 

We’re building a powerful, AI-driven communication platform — a next-generation alternative to RingCentral or 8x8 — powered by OpenAI, LangChain, and SIP/WebRTC. We're looking for a Full-Stack Software Developer who’s passionate about building real-time, AI-enabled voice infrastructure and who’s excited to work in a fast-moving, founder-led environment.

This is an opportunity to build from scratch, take ownership of core systems, and innovate on the edge of VoIP + AI.

What You’ll Do

• Design and build AI-driven voice and messaging features (e.g. smart IVRs, call transcription, virtual agents)
• Develop backend services using Python, Node.js, or Golang
• Integrate OpenAI, Whisper, and LangChain with real-time VoIP systems like Twilio, SIP, or WebRTC
• Create scalable APIs, handle call logic, and build AI pipelines
• Collaborate with the founder and early team on product strategy and infrastructure
• Participate in occasional in-person strategy meetings (Delhi, Bangalore, or nearby)

Must-Have Skills

• Strong programming experience in Python, Node.js, or Go
• Hands-on experience with VoIP/SIP, WebRTC, or tools like Twilio, Asterisk, Plivo
• Experience integrating with LLM APIs, OpenAI, or speech-to-text models
• Solid understanding of backend design, Docker, Redis, PostgreSQL
• Ability to work independently and deliver production-grade code

Nice to Have

• Familiarity with LangChain or agent-based AI systems
• Knowledge of call routing logic, STUN/TURN, or media servers (e.g. FreeSWITCH)
• Interest in building scalable cloud-first SaaS products

Work Setup

• 🏠 Remote work
• 🕐 Full-time role
• 💼 Direct collaboration with founder (technical)
• 🧘‍♂️ Flexible hours, strong ownership culture

Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.

About the Role

You will work as a senior AI engineer who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.

Four behaviors define this role:

1. Go where the work happens. You work onsite with the customer, in the room where decisions are made.
2. Show working software early. You build a prototype in days, not a document in weeks.
3. One person owns the outcome. You are the single point of accountability for the result.
4. Stay after go-live. You keep running and improving the system after launch.

You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.

This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.

What you'll own

1. Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
2. The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
3. The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
4. The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
5. The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
6. Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
7. Feedback to the product - Share what you learn in the field so the vendor's product and our internal tools get better.

What we are looking for

1. Around 4 or more years of software engineering experience, including customer-facing or client delivery work.
2. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
3. A full-stack development experience with strength in backend technologies.
4. Production experience with large language models, including prompt engineering and agent development.
5. You build with AI coding tools like Claude Code or Codex as your default way of working, and you have shipped real apps or agents this way.
6. Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
7. Experience building and deploying AI systems.
8. Experience integrating with APIs and enterprise systems.
9. Experience with at least one cloud platform (AWS, Azure, or GCP).
10. Clear communication. You can explain a technical choice to an engineer and to a business leader.
11. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
12. Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.

Nice to have

1. Experience with on-premises or private cloud (VPC) deployments.
2. Experience with observability and tracing tools such as LangSmith or Braintrust.
3. Experience with data engineering and pipelines.
4. A history of side projects, open source contributions, or products you shipped end-to-end.
5. Experience in embedded or forward-deployed roles before.
6. Experience working at a consulting or professional services firm in a client-facing delivery role.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open-source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Enterprise Integration Engineer, ServiceNow / Splunk (Freelance)

Positions: 2

Experience: Ideally 5-9 years.

Mission

Build secure enterprise connectors and governed tool interfaces between the AI platform and IT operational systems.

Priority skills

We particularly want candidates with a combination of:

ServiceNow + Splunk + API engineering

ServiceNow experience should include REST APIs, Incidents, Problems, Changes, Knowledge, work notes, authentication/OAuth and ITSM workflows.

Splunk experience should ideally include SPL, REST/Search APIs, indexes, sourcetypes, saved searches, alerts and operational integrations.

Confluence REST API and Rally/Broadcom Agile Central experience are additional advantages.

Engineering fundamentals

• Python and/or Java
• REST APIs
• OAuth2
• Enterprise authentication
• Service identities
• Rate limiting
• API throttling
• Retry patterns
• Idempotency
• Async/event processing
• Audit logging
• Least-privilege security

A candidate who combines ServiceNow + Splunk + Python/API engineering + GenAI integration experience should be treated as a particularly strong profile.

Location: Bangalore HSR Layout (Work from Office) Experience: 1–2 years preferred Compensation: Fixed + sales and performance incentives

About the Role

This is a Founder's Office role with a strong focus on business development.

You'll work directly with the founders to identify opportunities, speak with business owners, understand their challenges, and position Kumo as their long-term AI and software partner.

This isn't a traditional SDR role where you're only expected to book meetings. You'll be involved throughout the sales process and will learn how high-value B2B sales works.

What You'll Do Find and qualify businesses that could benefit from AI and custom software. Reach out to founders and decision-makers through outbound channels. Conduct discovery calls and understand business challenges. Position AI and software solutions based on business needs. Follow up consistently and move opportunities toward closure. Work closely with the founders on sales strategy, messaging, and execution.

Who We're Looking For

More than your résumé, we care about your mindset ( full time job exposure - Fresher we are not considering).

We're looking for someone who is:

Confident speaking with founders, CXOs, and business owners. Naturally curious and enjoys talking to people. Comfortable with outbound sales and handling rejection. A hustler who takes ownership instead of waiting for instructions. Eager to learn about AI, software, and technology. Ambitious and looking for a long-term career in B2B sales. Experience Around 1–2 years of experience in sales, business development, or client-facing roles is preferred. Experience in software or IT services sales is a plus, but not mandatory. If you've consistently exceeded targets, learned quickly, and can demonstrate strong sales ability, we'd love to hear from you.

About Kumo

Kumo is an AI and software development studio, not a product startup. Learn more https://www.kumohq.co/

We partner with businesses to solve complex problems by building custom AI solutions, internal business systems, SaaS platforms, web applications, and mobile apps. Our clients are primarily growing businesses across the US, UK, Europe, Australia, and the Middle East.

We believe the future belongs to businesses that effectively combine AI with custom software, and we're building a company around that vision.

Unlike traditional software companies that sell a fixed product, we help businesses identify opportunities, design solutions, and build technology tailored to their needs.

If you're excited about selling solutions, understanding business problems, and working at the intersection of AI and software, you'll enjoy this role.

Why Join Kumo?

We're building for the long term. For exceptional performers who grow with the company and create significant impact, we're open to offering ESOPs/equity. Work directly with the founders every day. Learn how to sell AI and software solutions to businesses. Take ownership from day one. Clear growth path into Business Development Manager or Sales Lead. Be part of a small, ambitious team where your work directly impacts company growth. One Thing We Value Above Everything Else

We're looking for someone with confidence, ownership, and a strong sales mindset.

If you're the kind of person who enjoys meeting new people, isn't afraid of rejection, and is excited about building something from the ground up, you'll fit right in.

Total Experience: 4+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.

The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.

What will you do?

• Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
• Integrate LLMs and AI APIs into production-grade applications.
• Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
• Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
• Build responsive, performant, customer-facing interfaces with React/Next.js.
• Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage: 

• You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster. 
• Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

• Solid fundamentals: problem-solving, data structures, and how systems fit together. 
• At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB). 
• You write clean, production-grade code and you ship.
• Knowledge of application security or ethical hacking is an advantage.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.