Benefits:

• Flexible and remote working options.

• Enhanced pension scheme (5% employer contribution).

• 25 days of holiday plus bank holidays.

• £1,200 annual work-from-home allowance.

• Private healthcare package (Vitality).

Education Requirements:

• Degree in Business, Technology, or related discipline (or equivalent experience)

• Agile Product Owner / Product Management certification desirable

Experience Requirements:

• At least 3–5 years in a Product Management role within technology/AI/software

• Strong experience in Agile product management, including backlog and roadmap ownership

Other Requirements:

• Ability to balance innovation with practical delivery outcomes

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

• Analytical approach to product decisions using data, insights, and client feedback

• Passion for AI-driven innovation and the ability to spot opportunities for emerging technologies

• Applicants must have the legal right to work in the UK.

Responsibilities:

• Define and deliver product vision, strategy, and roadmap in line with business goals

• Lead discovery workshops, client research, and solution design sessions

• Identify and incorporate emerging AI capabilities into product design and roadmap

• Partner with architects and data scientists to validate new AI features and use cases

• Manage product backlog, prioritisation, and trade-offs to maximise value

Benefits:

• Competitive compensation package

• Unlimited PTO

• Every third Friday of the month off

• Winter break closure; the week between Christmas and New Years

• Wellness reimbursement

Experience Requirements:

• 2+ years of experience selling performance marketing solutions to large enterprise clients.

• Experience within lead generation and/or affiliate marketing preferred.

• Experience with sales automation platforms, such as Apollo.io or Instantly.ai is ideal.

• Proven track record of exceeding sales targets.

• Exceptional communication and presentation skills.

Other Requirements:

• Familiarity with performance marketing and affiliate partnership solutions and the ability to effectively communicate their value to clients.

• Self-motivated, results-driven, and passionate about driving business success.

• Understanding how AI can be harnessed to find efficiencies in the outreach pipeline.

• Manage and report pipeline progression, hitting set KPIs.

Responsibilities:

• Identify and prospect potential clients through various channels such as cold calling, networking events, and online platforms, such as LinkedIn.

• Conduct thorough needs assessments to understand clients' marketing objectives, challenges, and budgets.

• Present tailored solutions to clients that align with their business goals and demonstrate the value of our solutions.

• Cultivate strong relationships with clients and maintain communication throughout the sales process.

• Stay updated on industry trends, competitor activities, and emerging technologies in performance marketing to maintain a competitive edge.

Benefits:

• Flexible paid time off, 11 paid holidays, and flexible work schedules

• Company Contribution to Medical, Dental, and Vision Insurance

• Parental Leave: Up to 18 weeks for birthing-parents and up to 10 weeks for non-birthing new parents

• Roth and 401k plans: 100% match up to the first 4% and is immediately vested

• Professional Development Reimbursement Program

Experience Requirements:

• 3+ years of experience in a field sales, account executive, or retail leadership role, preferably within prestige beauty, professional haircare, or cosmetics

• Proven track record of achieving sales goals, executing events, and leading in-store training

• Strong business acumen with the ability to analyze reports and pivot strategies based on business needs

• Exceptional interpersonal and relationship-building skills

• Experience managing freelance or in-store staff preferred

Other Requirements:

• Must be in market 90% of the time with 40-50% overnight travel

• Must be able to travel by car or public transportation; mileage and travel expenses reimbursed per company policy

• Job requires 5 days a week in-store support with two full office days per month

• Weekends are required (including occasional Sundays and evenings to support key events and selling days) One weekend off per month

• Standing, walking, moving for a minimum of 6+ hours daily in-stores

Responsibilities:

• Execute strategic quarterly business plans to maximize sales and growth opportunities across assigned territories and retail partners

• Achieve monthly and annual sales goals established by the company

• Identify and create education, event, and activation opportunities tailored to regional business needs

• Build and maintain strong, collaborative partnerships with store leadership, district managers, regional directors, beauty advisors and stylist teams

• Serve as the Olaplex brand authority within the territory, ensuring best-in-class product knowledge, merchandising, inventory management, and in-store execution

Education Requirements:

• Bachelor’s degree, major in mechatronics, electronics, electrical, process design

Experience Requirements:

• At least 2 years working experience in PACK assembly or lithium battery industry

Other Requirements:

• Good at analyzing and solving problems, have good communication and coordination skills

• Familiar with IATF1649 quality management system

• Proficient in Office, AUTOCAD and other software

• Have a certain ability to work under pressure, have a strong sense of team spirit and cooperation

Responsibilities:

• Responsible for process support, process verification and optimization and promotion of process problems in the design and development phase of PACK project

• Responsible for preparing product process documents (PFMEA, process flow chart, control plan, WI, etc.), proficient in PACK production process and key process control points

• Provided technical support for production, formulated standard operation instructions for each process, and solved technical problems in the production process

• In-depth technical exchanges on the production site, providing guidance for key parts and processes

Education Requirements:

• Bachelor’s degree from reputable college

Experience Requirements:

• 1–4 years of experience in Growth, Business Analysis, Consulting, Startups, or Marketing firms.

Other Requirements:

• Comfortable to work with AI tools for content creation, analysis, and experimentation

• Strong problem-solving and analytical skills with a bias for fast execution

• Strong interpersonal skills to build rapport, influence stakeholders, and manage relationships

• Demonstrated excellence outside academics (sports, arts, publications, leadership roles) with at least one standout achievement is a plus

Responsibilities:

• Identify and categorize content types (written, video, audio, visual) aligned with business objectives

• Collaborate with Sales and Product teams to define relevant, high-impact content themes

• Create clear, engaging, and channel-appropriate content

• Manage end-to-end publishing to ensure timely and optimized distribution

• Design and execute rapid marketing experiments across content formats

Experience Requirements:

• 1–3 years of experience in Machine Learning / AI Engineering/ Deep Learning

• 1-3 years of experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain.

• Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc.

Other Requirements:

• Strong Machine Learning concepts

• Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT, Faster-rcnn, etc., and experience in implementing those in pytorch/jax/tensorflow

• Strong command in probability and statistics

• Strong programming skills in Python and familiarity with PyTorch or TensorFlow.

• Experience with data preprocessing, training, and evaluation for vision or NLP tasks.

• Experience working with LLMs or multimodal models (Hugging Face transformers, Nanonets-OCR-S, Qwen-VL, LLaMa).

• Knowledge of REST APIs, Docker, Git, Kubernetes and basic cloud deployment (AWS/GCP/Azure).

• Good understanding of ML fundamentals (supervised learning, evaluation metrics, error analysis)

• Basic understanding of agentic AI workflows (document reasoning, confidence scoring, grounding).

• Strong problem-solving and analytical skills

Responsibilities:

• Understand specific customer requirements, develop and apply SOTA GenAI solutions to their workflows

• Develop and fine-tune OCR and Vision Language Models (text detection, recognition, entity extraction, layout understanding).

• Build and maintain data pipelines for documents, including cleaning, augmentation, and annotation.

• Implement and evaluate document parsing solutions for invoices, receipts, IDs, contracts, forms, etc.

• Work with LLMs/VLMs to enhance document understanding and enable intelligent reasoning over documents.

Education Requirements:

• B.E./B.Tech from top-tier engineering colleges

Experience Requirements:

• 3+ years of hands-on deep learning experience with production deployments

• Proven track record of taking models from research to production

Other Requirements:

• Strong PyTorch expertise – ability to implement custom architectures, loss functions, and training loops from scratch

• Experience with distributed training and large-scale model optimization

• Solid understanding of transformer architectures, attention mechanisms, and modern training techniques

• Experience with model serving frameworks (TorchServe, Triton, Ray Serve, vLLM)

• Knowledge of efficient inference techniques (ONNX, TensorRT, quantization)

• Contributions to open-source ML projects

Responsibilities:

• Train & Fine-tune SOTA Architectures: Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale

• Production ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM

• Agentic AI Systems: Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs

• Optimization at Scale: Implement quantization, distillation, and hardware acceleration techniques to achieve fast inference while maintaining accuracy

• Multi-modal Innovation: Tackle alignment challenges between vision and language models, reduce hallucinations, and improve cross-modal understanding using techniques like RLHF and PEFT

Benefits:

• Innovative Culture

• Growth Opportunities

• Flexible Work Arrangements

Experience Requirements:

• 4–6 years of full-cycle recruiting experience in SaaS, product, other high-growth tech environments, or with reputable recruitment agencies

• Proven track record hiring across Engineering, Deep Learning, GTM, and Business functions.

Other Requirements:

• Strong sourcing abilities with a knack for engaging passive candidates

• Excellent communication, stakeholder management, and negotiation skills

• Data-driven approach—comfortable analyzing recruiting performance and acting on insights

• Experience with Greenhouse ATS is a definite plus

• Familiarity with recruitment tools like LinkedIn Recruiter and AI-driven sourcing methods is an advantage

Responsibilities:

• Run the end-to-end hiring process across technical and non-technical roles, making sure every candidate has a smooth and positive experience

• Work closely with hiring managers and leadership to understand team needs and turn them into clear role requirements

• Build strong pipelines through creative sourcing and proactive outreach, not just waiting for inbound applicants

• Own recruiting operations—coordinate debriefs, manage offers and negotiations, and keep processes moving without bottlenecks

• Track key recruiting metrics (time-to-fill, offer acceptance, funnel conversion) and share insights that drive smarter decisions

Experience Requirements:

• 5+ years of experience in consumer-facing frontend development

• Experienced in ReactJS, NextJS, Typescript, Firebase or similar technologies

• Knowledge of Back-End Web Development (we use Rust)

• Experience with building frontends for AI development

• Strong problem-solving skills and attention to detail

Other Requirements:

• Strong written and verbal communication skills are a must

• Ability to work independently and proactively, no handholding required

• Ability to use AI tools to 10x productivity

• Must be based out of Singapore and have work authorization

• Willing to meet in person once in two weeks

Responsibilities:

• developing user-facing features

• ensuring the technical feasibility of UI/UX designs

• optimizing applications for maximum speed and scalability

• collaborating with other team members and stakeholders to create a cohesive product

• writing clean, scalable code, conducting code reviews, and staying up-to-date with emerging technologies and industry trends

Education Requirements:

• B.E/B.Tech/B.Sc. degree in IT/CS or similar relevant field

Experience Requirements:

• Previous working experience as a MEAN Stack Developer for 0-1years

• In depth knowledge of NodeJS

• Experience on the nature of asynchronous programming and its quirks and workarounds

• Experience implementing applications using AngularJS, Angular

• Experience creating front end applications using HTML5, LESS/SASS

Other Requirements:

• Hands on experience with JavaScript Development on both client and server-side

• Experience with modern frameworks and design patterns, minimum one-year experience with MEAN Fullstack

• Strong analytical skills and problem-solving aptitude

• Attention to detail

• Knowledge of Consumer Web Development Experience for High-Traffic, Public Facing web applications

• Experience with cloud technologies also a plus

• Creating secure RESTful-based web services in XML and JSON, Javascript, JQuery

• Continuous integration (Jenkins/Hudson) and version control (SVN, Git)

Responsibilities:

• Integration of user-facing elements developed by front-end developers with server-side logic

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Implementation of security and data protection

• Integration of data storage solutions, database

Experience Requirements:

• 5+ years hands on experience in UI technologies like JavaScript, Angular, JQuery, HTML5 & CSS3.

• Expert level knowledge of JavaScript including the latest edition(s) of JavaScript

• Hands on experience with JavaScript frameworks Angular15 or above versions

• Proficient in advanced CSS3, HTML5 and Bootstrap

• Good understanding of advanced JavaScript libraries JQuery

Other Requirements:

• Proficient understanding of code versioning tools, such as Git

• Excellent analytical/reasoning skills

Responsibilities:

• Design, develop, and deploy high-quality software solutions

• Contribute to critical application and product development projects

• Collaborate with cross-functional teams to deliver exceptional user experiences

• Participate in the entire software development lifecycle

• Ensure software meets quality standards and technical requirements

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)

• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

Experience Requirements:

• 4+ years of experience in AI/ML development.

• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

• Hands-on experience with LLMs, GenAI, and RAG architectures.

• Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).

• Knowledge of ML algorithms, deep learning architectures, and NLP techniques.

Other Requirements:

• Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.

• Experience with LangChain or LlamaIndex for LLM applications is a plus.

• Strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities:

• Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.

• Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.

• Develop and optimize ML models, leveraging classical and deep learning techniques.

• Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.

• Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.

Experience Requirements:

• 4 years of experience in AngularJS development.

• Proficiency in JavaScript, HTML5, and CSS3.

Responsibilities:

• Develop and maintain dynamic web applications using AngularJS.

• Create reusable, efficient, and modular AngularJS components and services.

• Optimize applications for maximum performance, scalability, and maintainability.

• Debug and troubleshoot existing applications to improve functionality and user experience.

• Write clean, maintainable, and well-documented code following best practices and coding standards.

Experience Requirements:

• 3–4 years of hands-on experience in Flutter and Dart

• Experience with RESTful APIs and third-party integrations

• Good understanding of mobile architecture and design patterns

• Strong debugging and problem-solving skills

• Excellent communication and teamwork skills

Responsibilities:

• Develop and maintain cross-platform mobile applications using Flutter

• Collaborate with designers and backend developers for seamless integration

• Write clean, maintainable, and testable code

• Optimize app performance and troubleshoot issues

• Participate in code reviews and team discussions

Experience Requirements:

• 4 years of experience in AngularJS development.

• Proficiency in JavaScript, HTML5, and CSS3.

Responsibilities:

• Develop and maintain dynamic web applications using AngularJS.

• Create reusable, efficient, and modular AngularJS components and services.

• Optimize applications for maximum performance, scalability, and maintainability.

• Debug and troubleshoot existing applications to improve functionality and user experience.

• Write clean, maintainable, and well-documented code following best practices and coding standards.

Experience Requirements:

• 6+ years' experience

Other Requirements:

• Working with large datasets, preprocessing data, and ensuring its quality and accuracy for model training.

• Deploying machine learning models into production environments and continuously monitoring their performance, making adjustments as needed.

• Keeping up with the latest developments in AI and ML technologies, including new algorithms, frameworks, and best practices

• Knowledge in Snowflake Cortex LLM

Responsibilities:

• Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication

• Build and optimize MLOps pipelines to streamline AI/ML workflows

• Integrate large language models (LLMs) into enterprise systems

• Contribute to technical decision-making for AI tools and frameworks

• Stay current on emerging AI technologies and contribute to proof-of-concept projects

Experience Requirements:

• 4 to 6 years as a Data Analyst or in a similar role.

• SAP HANA – Proficient in querying and performance optimization. Strong experience in scripting and modeling, and proficient in HANA graphical views and scripted views

• SAP BODs – Beginner-level knowledge of ETL processes.

• Strong SQL skills with ability to write and optimize queries on large datasets.

• Advanced MS Excel (Pivot tables, complex formulas, Power Query, etc.)

Other Requirements:

• Familiarity with data visualization tools (Power BI, Tableau, or similar).

• Excellent ability to interpret data, identify trends, and provide actionable insights.

• Strong verbal and written communication for engaging with stakeholders and presenting findings.

• Ability to troubleshoot data issues, investigate root causes, and provide timely resolutions.

Responsibilities:

• Write, optimize, and execute complex SQL queries in SAP HANA and Snowflake.

• Extract, transform, and analyze large datasets to support business requirements.

• Validate and reconcile data across multiple systems to ensure accuracy and consistency.

• Respond to ad-hoc data-related questions and support requests from stakeholders.

• Provide insights and recommendations through clear reports and presentations.

Education Requirements:

• Bachelor’s degree in computer science, Engineering, or a related field (preferred)

Experience Requirements:

• 6+ years of professional experience in full stack software development, with a solid foundation in both frontend (React, Angular, etc.) and backend (Node.js, Python, Java, Go) technologies.

• Hands-on experience with Kubernetes, container orchestration, and deployment automation in production-grade environments.

• Proven experience with mobile SDKs, especially Android (Java/Kotlin), and integrating platform services like camera APIs and keystore.

• Solid understanding of DevSecOps practices, including secure key management, code obfuscation, and encrypted data pipelines.

• Demonstrated experience working on cross-team, enterprise-scale projects, ideally involving SDKs or biometric systems.

Other Requirements:

• Familiarity with configuration-driven development and secure packaging/distribution of SDKs or mobile libraries.

Responsibilities:

• Design, build, and maintain the Biometrics SDK platform, including frontend tools, SDK packaging logic, backend APIs, and orchestration workflows.

• Implement the camera-based capture flow, metadata embedding, encryption using Android Keystore and attestations, and deliver secure SDK integration packages.

• Integrate with Kubernetes-based infrastructure to deploy and scale services used for testing, provisioning, and management of SDKs.

• Support multi-configuration support (face, palm) and customizable UX layers, and ensure compatibility with enterprise compliance standards (e.g., WVAG 2.x).

• Write and maintain clean, well-documented code that adheres to security and coding best practices.

Experience Requirements:

• 5+ years of hands-on experience in data modeling, including conceptual, logical, and physical design.

• Proven experience migrating large-scale Oracle DWH environments to Databricks Lakehouse or similar platforms.

• Strong expertise in Oracle database schemas, PL/SQL, and performance tuning.

• Proficiency in Databricks, Delta Lake, Spark SQL, and DataFrame APIs.

• Experience designing models optimized for cloud platforms (preferably AWS or Azure).

Other Requirements:

• Deep knowledge of dimensional modeling techniques (Star/Snowflake).

• Familiarity with tools and practices for metadata management, data lineage, and governance.

• Strong analytical and communication skills with the ability to work collaboratively in Agile teams.

• Ability to document and communicate data model designs to both technical and non-technical stakeholders.

Responsibilities:

• Design and implement conceptual, logical, and physical data models that support business requirements and analytics needs.

• Lead the migration of data models from an on-prem Oracle Data Warehouse to Databricks on AWS or Azure cloud.

• Reverse-engineer and analyze complex Oracle schemas, PL/SQL code, and existing structures to build equivalent or improved models on the cloud.

• Collaborate with data architects and engineers to define optimal data structures in Databricks, leveraging Delta Lake and Spark.

• Optimize data models for performance, scalability, and cost-efficiency in a cloud-native environment.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 6 to 8 years of experience in data architecture, data engineering, or a related field.

• Extensive experience with PLSQL and Snowflake, including designing and implementing Snowflake-based solutions.

• Sales compensation domain experience is preferred.

• Proven track record of contributing to data projects and working in complex environments.

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

Other Requirements:

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.