TalentXO

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage

Roles & Responsibilities

1. Own end-to-end customer deployments across cloud, BYOC, air-gapped, and data-center environments
2. Deploy and operate production environments using Kubernetes, Helm, and Terraform
3. Troubleshoot complex Kubernetes, networking, infrastructure, application, and deployment issues
4. Build and maintain observability, monitoring, alerting, and reliability
5. Handle customer escalations and drive issues to resolution with a "fix first, optimize later" mindset
6. Automate deployment and operational workflows
7. Work closely with Engineering, Product, and Customer teams to resolve production challenges
8. Participate in on-call and shift rotations, including critical customer escalations outside standard working hours

Ideal Candidate

1.Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience

2.Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

3.Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).

4.Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security

5.Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.

6.Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation

7.Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills

8.Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting

9.Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI

10.Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.

11.Mandatory (Company): B2B SaaS product companies

12.Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.

13.Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog

14.Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability).

Roles & Responsibilities

1. Design, develop, and maintain automated test scripts using UiPath Studio (Testing Profile) for Workday and Coupa applications
2. Build and execute regression test suites covering Workday HCM core, Talent & Performance Management, Advanced Compensation, Payroll/Benefits, and Recruiting modules
3. Build and execute regression and functional test suites for Coupa modules including Procurement (P2P), Sourcing, Invoicing, and Supplier Management
4. Validate business-critical configurations and custom workflows before and after Workday's bi-annual releases (Release Assessment / Feature Impact Testing)
5. Use UiPath Test Manager for test case management, requirement traceability, and execution reporting
6. Configure and schedule test executions via UiPath Orchestrator, including unattended and scheduled test sets
7. Perform functional, integration, and regression testing across UI and API layers for both applications
8. Log, track, and manage defects to closure; collaborate with functional/HRIS, procurement, and development teams to reproduce and resolve issues
9. Integrate automated test suites into CI/CD pipelines where applicable
10. Maintain test data, environment readiness, and reusable object/component libraries

Ideal Candidate

1Strong Test Automation Engineer Profile with UiPath Test Suite expertise for Workday & Coupa

2Mandatory (Experience 1): Must have 3+ years of overall QA / test automation experience, with at least 2+ years hands-on on UiPath Test Suite (Studio – Testing Profile, Test Manager, Orchestrator)

3Mandatory (Experience 2): Must have hands-on experience designing, developing, and maintaining automated test scripts using UiPath Studio (Testing Profile) for enterprise SaaS/ERP applications.

4Mandatory (Experience 3): Must have experience building and maintaining automated regression suites for enterprise SaaS/ERP applications, covering functional, integration, and regression testing across UI and API layers.

5Mandatory (Experience 4): Must have experience using UiPath Test Manager (test case management, requirement traceability, execution reporting) and UiPath Orchestrator (configuring/scheduling test sets, unattended execution)

6Mandatory (Experience 5): Must have experience logging, tracking, and managing defects to closure, and maintaining test data, environment readiness, and reusable object/component libraries.

7Mandatory (Tech skill 1): Must have working knowledge of Workday functional areas — HCM core, Compensation (including Advanced Compensation), Talent & Performance — sufficient to design meaningful test scenarios

8Mandatory (Tech skill 2): Must have working knowledge of Coupa modules — Requisitioning / Procurement (P2P), Purchase Orders, Invoicing, Sourcing, or Supplier Management.

9Mandatory (Tech skill 3): Must have basic API testing skills (Postman / REST) and SQL for data validation.

10Mandatory (Communication): Must have good communication skills to work with cross-functional HRIS, procurement, and IT teams

11Mandatory (Note): Candidates able to join within 10–15 days will be eligible for a joining bonus of up to 20% of their monthly salary,

12Preferred: Experience validating configurations before/after Workday's bi-annual releases (Release Assessment / Feature Impact Testing); integrating automated test suites into CI/CD pipelines.

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

• Define and drive the technology vision, architecture and long-term platform roadmap.
• Oversee the architecture, design and delivery of highly scalable enterprise systems.
• Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

• Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
• Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
• Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

• Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
• Own the GenAI/LLM solutions architecture.
• Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
• Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
• Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

• A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
• Collaborate with executive leadership on business strategy, client requirements and product delivery.
• Build, mentor and scale high-performing engineering teams with a growth mindset.
• Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

• Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
• Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
• Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

• Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
• A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
• Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
• Proven leadership in defining and executing technology strategy and platform roadmaps.
• Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

• Strong full-stack engineering background (Java, Python, JavaScript frameworks).
• Expertise with JS frameworks such as React, Angular and Node.js.
• Experience building and scaling distributed systems and microservices.
• Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
• Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

• Product and delivery management expertise, end to end, including delivery and customer support.
• Excellent communication, with the ability to influence executive stakeholders.
• High technical proficiency combined with strong business acumen.
• Strong analytical and decision-making skills.

Roles & Responsibilities

What you'll do

• Embed with enterprise customers to understand their business processes, systems landscape, and data. Translate that into concrete use cases for AI agents, automations, and applications.
• Build working solutions on the UnifyApps platform yourself, using the no-code builders, integrations, and data layer. Ship, iterate, and get to production.
• Own the technical and functional design of deployments across systems like Salesforce, Workday, SAP, ServiceNow, core banking and telecom stacks.
• Work with customer stakeholders from process owners up to CXOs. Run discovery workshops, demos, solution reviews, and go-live.
• Define success metrics for each deployment and hold the deployment to them.
• Feed patterns and gaps back to the core product and engineering teams. Turn repeated custom work into platform capability.
• Support pre-sales and pilot conversations where deep product depth is needed.

Ideal Candidate

1Strong Forward Deployed Product Manager Profile with robust exposure to client facing delivery

2Mandatory (Experience 1) - Must have 4+ years of product management experience with a track record of shipping successful products with product companies

3Mandatory (Experience 2) Must have hands-on experience driving platform deployment and integrations for enterprise clients — acting as the technical/product owner to understand client requirements, design the solution, and connect the platform with enterprise systems, APIs, and data sources.

4Mandatory (Tech skill 1) - Must have strong technical aptitude with hands-on experience in GenAI and API integrations

5Mandatory ( Skill 1): Must have experience working closely with designers, engineers, testers and other stakeholders

6Mandatory (Skill 2): Must be very good at making impactful presentations, with strong communication and presentation skills

7Mandatory (Skill 3) - Must have a bias to build, with comfort in ambiguity and evolving scope

8Mandatory (Skill 3): Must be able to lead and mentor a team of Forward Deployed Engineers, helping them grow into future product leaders

9Mandatory (Company) - Tier1 B2C product companies or Series B+ funded B2B product companies

10Preferred (AI Depth) - Exposure to enterprise AI deployments in production, including evaluation, guardrails, and observability of agents.

Roles & Responsibilities

1. Write, review and merge production code across Vue.js frontend and Node.js backend
2. Own code quality for the India team — set review standards and refactor technical debt
3. Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
4. Guide the team on day-to-day development decisions and step in on unsolved problems
5. Design solutions for new modules from spec to schema to API contract to implementation
6. Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
7. Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
8. Make and document build-vs-buy calls on third-party services with cost and integration effort
9. Ensure the platform stays stable and performant on a live, revenue-generating system
10. Demonstrate daily working use of AI coding tools and spec-driven development practice
11. Judge AI output quality and know when tasks should not be handed to agents
12. Set up and maintain repo-level context files and make the team's AI setup consistent
13. Coach the team on AI tools while holding the line on quality
14. Work with LLM APIs, embeddings, semantic search and understand where AI features help
15. Run sprint planning, estimation, standups and retros for the India team
16. Break requirements into technical tasks with clear acceptance criteria
17. Track velocity and flag slippage and blockers early
18. Own release coordination — deployment planning, rollback strategy and post-release monitoring
19. Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
20. Mentor mid-level engineers into senior ones and build depth
21. Participate in hiring — technical screening, interviewing and onboarding
22. Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
23. Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
24. Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
25. Manage the time-zone gap with structured overlap hours, written updates and async documentation
26. Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding

Ideal Candidate

1Strong Hands-On Technical Team Lead Profile (Vue.js + Node.js) with AI-assisted development and B2B e-commerce exposure2Mandatory (Experience) - Must have 8+ years of software engineering experience with at least 2+ years leading a team of 5 or more engineers3Mandatory (Tech skill 1): Must have strong, current, hands-on Vue.js experience including component architecture, state management and performance optimisation4Mandatory (Tech skill 2): Must have strong, current, hands-on Node.js and Express experience for production API development at scale5Mandatory (Tech skill 3): Must have deep MongoDB experience including aggregation pipelines, index design, query performance tuning and schema decisions6Mandatory (Tech skill 4): Must have AWS experience particularly Kubernetes/EKS with deployments, resource limits, health probes and production monitoring7Mandatory (Tech skill 5): Must have working understanding of Flutter including widget architecture, state management, platform channels and Play Store/App Store release pipelines8Mandatory (Tech skill 6): Must have demonstrable, daily professional use of AI coding tools (Claude Code, Cursor, GitHub Copilot, Gemini CLI or equivalent) with real examples9Mandatory (Tech skill 7): Must have experience with spec-driven development including writing structured requirement and design documents and reviewing AI-generated output against acceptance criteria10Mandatory (Tech skill 8): Must have experience setting up and maintaining repo-level context files, rules files and custom commands for AI development11Mandatory (Tech skill 9): Must have Git and CI/CD experience including branching strategy, review workflow and automated pipelines12Mandatory (Leadership): Must have line-managed engineers (1:1s, feedback, performance, growth), mentored mid-to-senior, and participated in hiring13Mandatory (Communication): Must communicate clearly to mixed technical/non-technical audiences and manage a time-zone gap with structured overlap and async documentation (works with the UAE office)14Mandatory (Education): Bachelor's or Master's in Computer Science, Engineering or related field15Mandatory (Domain): Background in B2B e-commerce, wholesale/distribution or marketplace platforms16Preferred (Offshore Experience): Experience working as the offshore technical counterpart to an overseas leadership team17Preferred (AI Integration): Experience integrating LLM APIs into a production product18Preferred (Observability): Exposure to observability tooling such as CloudWatch, Datadog or Sentry and analytics instrumentation19Preferred (Third-party Integrations): Experience with payment gateways, e-signature, logistics APIs, mapping and geolocation integrations

Roles & Responsibilities

Key Responsibilities

• Own and manage the full sales cycle: prospecting, discovery, proposal, negotiation, and closing
• Identify, target, and engage ideal B2B customers (SaaS, IT, Services, etc.)
• Develop and execute outbound sales strategies (email, LinkedIn, cold calling)
• Qualify inbound and outbound leads to ensure good client fit
• Present customized lead generation solutions to meet client goals
• Collaborate with the delivery and operations teams to ensure a smooth handoff and onboarding
• Track sales pipeline using CRM (e.g., HubSpot, Salesforce)
• Meet and exceed monthly and quarterly revenue targets

Stay up-to-date with industry trends and competitors

Ideal Candidate

1.Strong Senior B2B Sales Hunter Profile driving new business for a B2B Tech services/B2B Lead Generation / Demand Generation agency, selling Demand Gen / Marketing Services / IT Services / SaaS to mid-market and enterprise clients

2.Mandatory (Experience 1) – Must have 10+ years of direct B2B sales experience, of which the most recent 5+ years must be in selling B2B technology services / IT services / B2B SaaS / demand generation or marketing services with a strong focus on new business acquisition.

3.Mandatory (Experience 2) – Must have owned the full new-business sales cycle end to end — prospecting, lead generation, discovery, stakeholder engagement, proposal/pitch, negotiation and closing — with a strong hunter/new-logo acquisition mindset and demonstrated ability to independently convert cold/warm prospects into paying clients

4.Mandatory (Experience 3) – Must have demonstrated B2B sales experience selling technology services / IT services / SaaS / marketing or demand-generation services to clients in global markets, particularly the US, UK and/or MENA, with ownership of prospecting through closure (Global-market sales must be a significant and recent part of the candidate's sales experience, not limited to occasional/inbound international accounts)

5.Mandatory (Skill 1) – Must have sold to marketing, sales and growth decision-makers (CMO, VP Marketing, Head of Growth, Head of Demand Gen) in multi-stakeholder deals

6.Mandatory (Skill 2) – Must be hands-on with outbound motions: cold email, LinkedIn, cold calling, ABM and SDR workflows, and lead qualification

7.Mandatory (Skill 3) – Must be fluent with CRM and prospecting tools (HubSpot or Salesforce, plus LinkedIn Sales Navigator, Apollo, ZoomInfo

8.Mandatory (Skill 4) – Must have a consistent record of meeting and exceeding monthly and quarterly revenue targets, stated in the resume

9.Mandatory (Skill 5) – Must be able to clearly demonstrate a structured B2B sales approach, including ICP identification, account research, prospecting strategy, outreach sequencing, discovery, lead qualification, stakeholder mapping, solution positioning, objection handling, negotiation and closing.

10.Mandatory (Leadership) – Must have team-handling experience, having built, led and mentored a sales team while carrying an individual quota

11.Mandatory (Communication) – Must have excellent written and verbal communication, comfortable managing longer sales cycles with multiple stakeholders

12.Mandatory (Stability) – Must show stable tenure of 2+ years per organisation with no significant gaps

13.Mandatory (Company) – Must come from a B2B technology services / IT services / B2B SaaS / B2B tech company, or a B2B lead generation / demand generation / content syndication / ABM / appointment-setting / marketing services agency

14.Mandatory (Note 1) – Resume must demonstrate quantifiable B2B sales achievements, such as quota attainment %, revenue/bookings generated, new logos acquired, deal sizes, pipeline generated or YoY growth

15.Mandatory (Note 2) – Must be open to night shift, 5:30 PM to 2:30 AM

16.Mandatory (Note 3): CTC is inclusive of variable upto 30%

17.Preferred (Industry) – Familiarity selling to SaaS, IT services or B2B tech companies

Interview Process

Roles & Responsibilities

1. Develop and execute integrated marketing campaigns and content strategies across digital platforms
2. Identify trends, creator opportunities, and audience behaviour to inform content direction
3. Translate market insights into actionable content strategies
4. Manage visual storytelling and brand narrative across Instagram, YouTube, LinkedIn, and emerging platforms
5. Craft compelling copy and communications that align with brand voice

Ideal Candidate

1Strong Content Strategy / Social Media Strategy Profile from D2C / Consumer Brands

2Mandatory (Experience 1): Must have 4+ years of experience in content strategy, brand marketing, social media strategy, or creative planning.

3Mandatory (Experience 2): Must have hands-on experience handling social media platforms including Instagram, Twitter/X, and LinkedIn.

4Mandatory (Experience 3): Must have experience developing content strategies and deciding what type of content should go across different social media platforms.

5Mandatory (Experience 4): Must have experience creating monthly content calendars and planning content for social media platforms.

6Mandatory (Skill 1): Must have a strong understanding of digital culture, current social media trends, and content formats.

7Mandatory (Skill 2): Must have a strong understanding of Instagram Reels, trends, and social-first content.

8Mandatory (Skill 3): Must have strong communication, copywriting, content planning, brand storytelling, and content ecosystem understanding.

9Mandatory (Industry): Must have experience with D2C / consumer brands. Experience in fashion, beauty, lifestyle, or consumer brands

Roles & Responsibilities

• Design and develop intelligent AI-based applications using advanced NLP and LLM techniques to solve real-world business challenges in financial services.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured financial data.
• Integrate and orchestrate LLMs/SLMs for question-answering, summarization, semantic search, and document understanding.
• Develop and maintain RESTful APIs (sync and async) to serve NLP models and chatbot interfaces using frameworks like FastAPI, Flask, etc.
• Should have knowledge of advanced prompting techniques.
• Implement semantic search, hybrid search, and text retrieval systems using Elasticsearch and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Perform NLP tasks such as entity recognition, text classification, intent detection, embedding generation, and sentiment analysis where required.
• Monitor and fine-tune LLM/SLM performance with real-world user data to improve relevance, latency, and accuracy.
• Exposure to LLMOps tools for monitoring, evaluation, and versioning of AI models in production.
• Build, train, and evaluate deep learning models for NLP tasks including classification, NER, summarization, and embedding generation.
• Develop traditional machine learning models (e.g., regression, decision trees, clustering) for structured data analysis and prediction tasks.
• Interact with cross-functional teams to understand system issues and follow up with respective teams to get them fixed.
• Understand and identify areas of improvement across businesses and participate in solution identification and implementation.
• Should be able to work as an Individual Contributor on new and existing projects.
• Positive and problem-solving attitude, must work as an independent contributor.

Ideal Candidate

1.Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2.Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3.Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support

4.Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5.Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6.Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models

.7.Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8.Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9.Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

10.Mandatory (CTC) - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

11.Preferred (Experience 1) - Experience with LLMOps/MLOps tools for monitoring, evaluation, experimentation, and versioning of AI models.

12.Preferred (Experience 2) - Exposure to Azure OpenAI, Azure Kubernetes Service (AKS), Kubernetes, cloud-native AI deployments, or distributed systems.

13.Preferred (Experience 3) - Experience working with PostgreSQL, MongoDB, Redis, Kafka, or large-scale data platforms.

14.Preferred (Experience 4) - Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.

15.Preferred (Company) - Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

16.Mandatory ( Age ) - Candidate Should be Below 28 Years.

17.Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Roles & Responsibilities

To drive design excellence for the assigned digital customer journeys (app & web) by leading a team of designer(s) and owning the end-to-end design and testing strategy for these journeys. The role partners closely with business/product stakeholders, product management and analytics teams to identify customer pain points, prototype new-age (including AI-led) design concepts, validate design hypotheses through structured testing (A/B, moderated/un-moderated research) and institutionalize design system adherence across the assigned journeys, while managing the design talent within the team.

Minimum required Accountabilities for this role

• Own the end-to-end design vision and strategy for the assigned business POD's digital journeys (app & web)
• Lead, guide and manage the Design & Testing Member(s) in the POD, including performance management and capability building
• Partner with the POD Lead, Product Managers and Business stakeholders to translate product strategy into intuitive design solutions
• Drive user research (moderated/un-moderated) and synthesize customer pain points and expectations into actionable design interventions
• Define and drive the A/B testing and experimentation roadmap for POD journeys in partnership with testing/analytics teams
• Champion adoption and governance of the organization's design system across the POD
• Guide the team on prototyping (including AI-based tools) of new concepts, backed by user research and industry best practices
• Track, review and report design impact using customer experience (CX) metrics and behavioural data, and continuously identify improvement opportunities

Additional Accountabilities pertaining to the role

• Represent design in cross-functional forums, product reviews and stakeholder governance meetings
• Benchmark journeys against industry, competitor and emerging design/AI trends
• Contribute to design operations, process improvement and design system evolution at the organization level

MAJOR CHALLENGES

• Balancing fast-paced digital delivery timelines with rigorous, research and data-backed design decisions
• Driving design consistency and design-system adherence across multiple, concurrently evolving customer journeys
• Influencing cross-functional stakeholders to prioritize design/UX interventions
• Building, mentoring and scaling a high-performing design and testing team

DECISIONS

• Final design direction and sign-off for POD journeys prior to development handoff
• Prioritization of the design and testing roadmap within the POD
• Selection of design variations to be tested and the success metrics used to evaluate them

Other Information

• Total Team Size: As per POD design team structure (between 3 to 13)
• Number of Direct Reports: 1–2 (Design & Testing Member(s))
• Number of Indirect Reports: As applicable, through the POD structure
• Number of Outsourced employees: As applicable, through the POD structure
• Number of locations: 1 (Head Office)
• Number of products: As per POD journeys assigned

Ideal Candidate

1.Strong Product Design & Usability Testing Lead Profile, with end-to-end ownership of digital customer journeys

2.Mandatory (Experience 1) - 5+ years of relevant design experience, with hands-on experience designing and scaling digital customer journeys for app and web platforms in a high-growth, digital-first environment

3.Mandatory (Experience 2) - 1+ years leading, mentoring and managing designers as direct reports, including performance management and capability building

4.Mandatory (Experience 3) - Owning end-to-end design vision and strategy for assigned journeys, including final design direction and sign-off prior to development handoff

5.Mandatory (Experience 4) - Strong experience in building, governing and driving adoption of design systems across multiple teams or journeys, not just consuming an existing design system

6.Mandatory (Experience 5) - Defining and driving A/B testing and experimentation roadmaps in partnership with analytics or testing teams, including selecting design variations and the success metrics used to evaluate them

7.Mandatory (Tech skill 1) - Hands-on prototyping of new concepts using AI-based design and prototyping tools

8.Mandatory (Company) - Top B2C digital-first product environment with high-volume app and web journeys

9.Mandatory (Education) - Bachelor's or Master's degree in Design (UX/UI, Interaction Design, HCI) or a related field from a recognised design institute (like NID, IIT, NIFT, Srishti etc)

10.Mandatory (Portfolio) - Strong portfolio of end-to-end journey design for app and web, design system work, and research or experimentation outcomes with measurable impact