Staffnixcom

Strong Technical Implementation manager profile with exposure to enterprise clients in B2B SaaS domain

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Mandatory (Experience 1) – Must have 4+ years in Technical Implementation Manager/ SaaS Implementation manager/Technical Project Implementation Manager with atleast the recent 2+ years in a B2B SaaS company dealing with enterprise clients

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Mandatory (Experience 2) – Must have direct experience leading end-to-end software/tech product/tech project delivery

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Mandatory (Experience 3) – Must have External / Client project implementation experience (Don't want internal project manager)

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Mandatory (Experience 4) - Experience coordinating with Product, Engineering, and Support teams to ensure successful customer go-live.

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Mandatory ( Experience 5) – Must be comfortable engaging and presenting to C-level executives, Directors, VP-level stakeholders, and enterprise decision-makers, with proven ability to build strategic long-term relationships

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Mandatory (Core Skills) – Strong communication, stakeholder management, and executive-level reporting capability

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Mandatory (Company) - Candidates from B2B SaaS Product companies will be prioritised. Candidates from Big 4 firms — Deloitte, KPMG, PwC, and EY — will also be considered.

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Mandatory (Note 1): Not looking for implementation engineer but someone who handles the implementation projects. In their current or most recent role, the candidate must be the accountable owner of implementation projects (primary client point of contact, owns the project plan and go-live), not a hands-on specialist executing the build.

Strong Product Design Engineer Profile that combines strong product design with hands-on frontend coding

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Mandatory (Experience 1): Must have 2+ years in product design, with strong depth in dense, complex product interfaces (tables, forms, permissions, multi-role flows) built for real users

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Mandatory (Experience 2): Must have strong product / visual design judgment along with the ability to ship production-ready frontend code independently. Not a designer who only vibe-codes, and not an engineer who dabbles in UI.

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Mandatory (Frontend Tech Skills 1): Must have hands-on frontend engineering (React / HTML / CSS / GitHub), able to work directly in a production codebase and write clean, production-ready code (not bloated AI output needing an engineer to fix)

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Mandatory (Frontend Tech Skills 2): Must be able to set guardrails and standards so AI tools generate clean, production-ready, accessible code that follows the component system, removing the need for a frontend engineer to review design-team code.

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Mandatory (Portfolio): Must share a GitHub profile and a link to a real product prototype they designed and coded end-to-end. Must show shipped, interactive product UIs. Landing pages, marketing sites, dummy projects, case studies, and Figma / Behance / Dribbble-only portfolios will not be considered.

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Mandatory (Communication): Must have excellent English communication and be able to clearly articulate their thought process (works with US stakeholders).

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Mandatory (Company): B2B SaaS background (dense tables / data); early stage startups where design and engineering were not separate functions will also work

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Mandatory (Exclusion 1): Must not position as Engineer / Developer / PM in their resume. This is a designer-first profile.

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Mandatory (Exclusion 2): Must not be from big corporates / MNCs (1000+ employees, e.g. Infosys, Wipro) or IT services companies / agencies.

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Preferred (Profile): Designer-first, engineer-second, with titles like Product Designer, Design Engineer, Design Builder, or Design Technologist; ideally moved from a design role into design-engineering.

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Preferred (AI): Experience with AI-native interfaces (streaming output, agentic / human-in-the-loop UX, confidence / uncertainty in UI); AI used structurally in shipping features, not just for copy or assets.

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

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

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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).

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

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

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

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

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

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

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

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Mandatory (Company): B2B SaaS product companies

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

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

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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

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

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

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Mandatory (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.

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

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

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

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

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

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

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

Strong AI Engineer / Machine Learning Engineer profiles.

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Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

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Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

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

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Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

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

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Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

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Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

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

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Mandatory (Age) - Candidate's Age should be below 28 Years

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

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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.

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

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

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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.

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

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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.

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

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

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

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

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

Strong Technical Implementation manager profile with exposure to enterprise clients in B2B SaaS domain

2

Mandatory (Experience 1) – Must have 4+ years in Technical Implementation Manager/ SaaS Implementation manager/Technical Project Implementation Manager with atleast the recent 2+ years in a B2B SaaS company dealing with enterprise clients

3

Mandatory (Experience 2) – Must have direct experience leading end-to-end software/tech product/tech project delivery

4

Mandatory (Experience 3) – Must have External / Client project implementation experience (Don't want internal project manager)

5

Mandatory (Experience 4) - Experience coordinating with Product, Engineering, and Support teams to ensure successful customer go-live.

6

Mandatory ( Experience 5) – Must be comfortable engaging and presenting to C-level executives, Directors, VP-level stakeholders, and enterprise decision-makers, with proven ability to build strategic long-term relationships

7

Mandatory (Core Skills) – Strong communication, stakeholder management, and executive-level reporting capability

8

Mandatory (Company) -B2B SaaS Product companies

9

Mandatory (Note 1): Not looking for implementation engineer but someone who handles the implementation projects. In their current or most recent role, the candidate must be the accountable owner of implementation projects (primary client point of contact, owns the project plan and go-live), not a hands-on specialist executing the build.

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Mandatory (Note 2) - We have 5 open positions of which 1 position is for Pune, and the rest 4 are for Bangalore/Gurgaon

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Mandatory (Education): Engineering graduate

Strong Product Designer from top college profile

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Mandatory (Experience) - Minimum 1+ YOE in UX / Product Design, with strong focus on B2C Products

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Mandatory (Portfolio) - Strong portfolio of UX / Product Design works for top / high-traffic B2C Products

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Mandatory (Company): Top B2C product company

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Mandatory (Education) - Must have Design Education (BDes, MDes) from Tier1 college (NIT, NIFT. IIT). Tier2 colleges will be given 2nd priority

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Mandatory (Exclusion) - Only UX designer wont work, we need product designers

Strong Technical Implementation manager profile with exposure to enterprise clients in B2B SaaS domain

2

Mandatory (Experience 1) – Must have 4+ years in Technical Implementation Manager/ SaaS Implementation manager/Technical Project Implementation Manager with atleast the recent 2+ years in a B2B SaaS company dealing with enterprise clients

3

Mandatory (Experience 2) – Must have direct experience leading end-to-end software/tech product/tech project delivery

4

Mandatory (Experience 3) – Must have External / Client project implementation experience (Don't want internal project manager)

5

Mandatory (Experience 4) - Experience coordinating with Product, Engineering, and Support teams to ensure successful customer go-live.

6

Mandatory ( Experience 5) – Must be comfortable engaging and presenting to C-level executives, Directors, VP-level stakeholders, and enterprise decision-makers, with proven ability to build strategic long-term relationships

7

Mandatory (Core Skills) – Strong communication, stakeholder management, and executive-level reporting capability

8

Mandatory (Company) -B2B SaaS Product companies

9

Mandatory (Note 1): Not looking for implementation engineer but someone who handles the implementation projects. In their current or most recent role, the candidate must be the accountable owner of implementation projects (primary client point of contact, owns the project plan and go-live), not a hands-on specialist executing the build.

Strong Senior Project Manager Profile with enterprise B2B SaaS, client-facing delivery experience

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Mandatory (Experience 1): Must have 5+ years of project management experience with significant client-facing delivery time (non-negotiable), including experience in a B2B SaaS company serving enterprise customers

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Mandatory (Experience 2): Must have managed complex enterprise projects end-to-end, from requirement/planning through successful delivery and go-live

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Mandatory (Experience 3): Must have managed multi-country / multi-region rollouts (preferably North America and/or Europe), coordinating India-based delivery teams with customers/stakeholders in Western markets

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Mandatory (Experience 4): Must have delivered technically complex / analytics-driven projects (AI/ML, Image Recognition, or Data Analytics)

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Mandatory (Tech skill): Must have strong working knowledge of SQL, APIs, and Master Data Management (MDM)

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Mandatory (Experience 5): Must have experience with SOWs, change requests, or RFPs, managing scope, timelines, risks, and dependencies using Waterfall or Agile

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Mandatory (Ownership): Must be the accountable owner of the engagement — primary client point of contact, owning the project plan and go-live end-to-end — not a hands-on specialist executing the build

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Mandatory (Skill): Must have strong facilitation, communication, stakeholder-management, and executive-level reporting skills across cross-functional, geographically distributed teams

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Mandatory (Note): CTC is inclusive of variable

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Preferred (Experience): Prior experience with customer onboarding

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Preferred (Certification): PMP, CAPM, ITIL, or CSM.