Team Assembler Floater in Pune

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission in optimizing incentive compensation plans for all companies . They wo rk directly with our customers in helping them understand and take advantage of all the sales compensation features Forma.ai offers . F rom streamlining administration and management of sales commission to designing your sales compensation plan , o ur Customer Operations team ensur es customers get the most value from our platform in optimizing every dollar spent on sales compensation. What you'll be doing: Reporting to the Senior Manager of Customer Operations, the Incentive Analytics Manager will contribute in the following areas: Develop a strong understanding of the Forma.ai product and platform to establish yourself as a product expert Lead the ongoing operations for a portfolio of customers (i.e., commissions rule building, process execution, reporting and dashboarding, and overall product support) Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation Identify potential opportunities for process improvement in client processes (e.g., process execution, data validation, dashboard updates). Explore new techniques, working models to improve design and improve processes Lead design projects, including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission. This team has a direct impact on the growth of Forma.ai. They are results-driven and solutions-minded. The Customer Operations team works closely with our customers, helping them to understand and take advantage of all the features Forma.ai offers and ensuring that they get the most value from the platform. What you'll be doing: Reporting & Dashboarding Design, maintain, and enhance dashboards in BI tools (e.g., Looker Studio, Salesforce/HubSpot reports) to monitor marketing campaign performance, sales pipeline health, lead flow, and conversion metrics Automate recurring reports and implement self-serve analytics capabilities for GTM teams Data Analysis & Insights Analyze funnel performance from top-of-funnel marketing campaigns to bottom-of-funnel sales outcomes Provide regular insights into key KPI s like campaign ROI, customer acquisition cost (CAC), and attribution across channels Support A/B testing initiatives, sales activity analysis, and segmentation strategies Scripting & Automation Write Python and SQL scripts to extract, clean, and structure data from external sources (e.g., job boards, press releases, M&A feeds, web scraping APIs ) Build automated enrichment pipelines to augment CRM and marketing data with third-party insights (e.g., firmographics, hiring activity, technology stack, fun

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: • Work with new and existing customers to implement the company's new platform features as well as manage and optimize client processes • Learn the architecture and design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests • Lead onboarding & activities, including requirements gathering for incentive compensation plan rules, data analysis, and quality control • Assist the ongoing operations for a portfolio of existing customers and implement new features (i.e. rule building, process execution, reporting and dashboarding, and product support) • Scope, build and test automated workflows, processes and reporting capabilities to support automation of incentive compensation processes and improve business visibility • Support design projects including analysis, financial modelling, project planning, customer workshops

Why This Role Exists Eulerity-GACS is an AI-native marketing automation platform — not a legacy tool with AI bolted on. We serve enterprise brands like Mastercard, UPS Store, Uber Eats, automating digital advertising across thousands of franchise locations. As we scale, we are expanding our India-based Mobile Engineering team to support our rapidly growing client base! We aren't looking for a traditional developer who writes Swift. We want an AI-augmented engineer who treats agentic coding workflows as their primary development tool. At Eulerity-GACS, AI-first development enables us to ship high-impact features to real users at a pace that leaves legacy competitors behind. If you are a senior-level developer who has already restructured your workflow around Claude Code, Copilot, and system prompting to move faster than your peers, we want you on our team. The Fast Facts Location: Remote (India) Schedule: Shifted to ensure close alignment and high-bandwidth collaboration with US EST hours (e.g., approximately 5:30 PM – 2:30 AM IST). Compensation: ₹13-16 LPA (depending on experience) AI Tools: Unlimited. Claude Code, Copilot, whatever makes you sharp — we don't gatekeep tools here. Start Date: Early joiners preferred What You'll Actually Do This is a high-ownership role where you will be building features that real users depend on daily. Develop, test, and maintain our high-quality iOS application using Swift, SwiftUI/UIKit, and AI-first development practices. Agentic coding tools will be your daily drivers. Collaborate closely with US-based Product and Design teams to implement features from architecture through deployment, leveraging AI for code generation, debugging, and review. Write clean, scalable, and highly maintainable code following best practices and architectural patterns. Utilize effective prompts and system instructions as a core engineering skill to maintain a robust MVVM architecture. Who You Are We are looking for a technically sharp devel

Senior Data Consultant Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... What will you be doing? ● Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. ● In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. ● You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? ● You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. ● Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. ● We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. ● You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,...). Artefact is the place to be: come and build the future of data and marketing! Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them.

Job Description - Data Analyst Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… 1. What you will be doing? As a Data Analyst, your key responsibilities revolve around utilizing Python and SQL for data manipulation and analysis, coupled with leveraging visualization tools such as Tableau, PowerBI, and Web Applications to present insights effectively. Your primary duties include: Data Analysis: Employing Python and SQL to extract, clean, and analyze data to derive actionable insights. Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication. Statistical Understanding: Applying statistical concepts and understanding data structures to interpret data patterns and trends accurately. 2. What we are looking for? Technical Expertise: Proficiency in Python, SQL, and data manipulation for analysis purposes. Experience in data visualization tools such as Tableau, PowerBI, and Web Applications for creating interactive and informative dashboards. Solid understanding of statistics and data structures for accurate data interpretationProven problem-solving skills and a solution-oriented mindset. Attitude & Soft Skills: Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass: Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets. Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes. Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner. Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability. What we are looking for? Proficiency in Python, SQL, data science modeling, and statistical analysis. Strong grasp of ML algorithms and their implementation in real-world scenarios. Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS). Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have e

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Analytics team is seeking a Director to join and lead the team. The Analytics team is a globally distributed team core to Addepar's transition to next-generation data and analytics with a scalable global operating model. Its mission is to empower analysts, researchers, and internal teams to create and share data and insights - driving data driven decision making at scale. The Director will define and execute the strategic vision for the function, while driving operationalisation, governance, and platform maturity across regions. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Define and execute a unified analytics strategy in partnership with key stakeholders, with a published roadmap reviewed quarterly Serve as a culture carrier and visible leader for the APAC region, bridging local teams with global priorities Lead BI and platform strategy, including persona-driven architecture and enablement paths for power users, consumers, executives, and producers Lead global expansion of the analytics platform - hardening existing regional implementations and validating a repeatable architecture for ne

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a highly experienced Staff Software Engineer with a strong Java background to join our Letter of Authorisation (LOA) team! We’re building a system that can self-service onboarding of held-away accounts for enterprise clients. This new system will be built on our application framework with cloud-native architecture principles. We’re looking for an experienced, detail-oriented Engineering Leader who will build an inclusive team culture, empower engineers to succeed and foster an environment that creates high quality engineering processes and product delivery. You are passionate about technology and can amplify your technical knowledge via your team. You’ll work closely with our product and design teams to deliver great products for our clients. Our engineering team primarily works in Java, Python and React, a strong Java experience with any of the additional skills would help succeed in the role. We use Agile methodologies to deliver impactful business outcomes. What You’ll Do Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code. Lead individual project priorities, deadlines, and solutions. Collaborate effectively with product manager

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products. As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences. This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation. You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust. Applicants must have legal authorization to work in the country where this role is based o

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As part of the broader Addepar Data Management & Quality organization, the Data Client Support team is responsible for ensuring our customers receive first-class support experience and are able get the most value out of their data in Addepar. The Data Client Support team sits at the nexus of Addepar's activity and requires daily communications with clients, data providers, and other personnel across the company. Important : This role requires for you to be in office 3 days per week in Pune. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Address client inquiries related to Addepar’s portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, Solutions Architects, and other members of GTM to drive alignment on data related escalations and ensure positive outcomes for clients.

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a software engineering manager to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll lead a full-stack team of engineers and collaborate closely with Product and Design to deliver client-facing features that will set us apart from our competitors. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Manage a small team of frontend and backend engineers that will grow as you do Own technical design and implementation for some of your projects to set a good example for the ICs Work with platform teams to deliver features with consistent capabilities Drive the career growth of your direct reports Stay up to date on industry trends, such as AI tooling, that can make the team more effective Collaborate with ADM engineering and product leads in the US, UK and India to drive team-wide process improvements and best practices Who you are B

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are establishing a Procure-to-Pay (P2P) team in India to support our global Finance organization. As the P2P Operations Lead, you will build and lead our new P2P Shared Services function in India, overseeing the operational execution of supplier onboarding, purchase order administration, invoice processing, and governance activities while partnering with Procurement and Accounts Payable to deliver a scalable, world-class Procure-to-Pay operation. This role requires someone with deep Coupa and NetSuite experience, a strong command of P2P end-to-end process flows, and the maturity to operate independently with limited in-person oversight. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What you'll own Procurement Operations Own the end-to-end supplier onboarding process, including reviewing complete documentation and adhesion to internal policies. Maintain supplier records to ensure up-to-date supplier details and status Administer procurement workflows within Coupa and NetSuite. Manage Purchase Order (PO) lifecycle, including maintaining accurate PO billing and purchase details, monitoring open POs, and

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The ADM Support team handles all client inquiries related to Addepar's Alternatives Data Management (ADM) solution post-implementation. ADM Support Analysts play a critical role in supporting some of the world's most sophisticated investors, answering questions and resolving issues related to their alternative investment data on the Addepar platform. They ensure clients get the most value out of each interaction by providing accurate, timely guidance across the full scope of ADM functionality. Our ideal candidate is tenacious about tackling problems, can skillfully coordinate with internal teams, and enjoys working directly with clients in the alternative investments space. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. Important Note: The working schedule for this position is from 6:30 PM to 3:30 AM IST, US business days. What You’ll Do Identify, respond to, and resolve issues and questions raised by ADM clients, providing timely and accurate support. Work in complex alternative investment data sets to identify and resolve data and calculation discrepancies. Evaluate the criticality of client issues and