Salesforce Technical Lead in India

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Global Experience Specialist – Global Alliances & Channels Empower global partners and drive ecosystem self-sufficiency by orchestrating specialized onboarding and training programs for our premier AI-Powered Process Automation platform. Location: Chennai, India | Work Model: Hybrid About the Team The Global Alliances and Channels team at Appian is a fast-paced, dynamic organization that plays an integral role in driving Appian's growth globally. We are passionate about driving digital transformation by bringing Appian solutions that provide the speed, agility, and efficiency needed for enterprises to compete and grow. Our team is dedicated to supporting an extraordinary global network, ensuring our partners are fully equipped to build, sell, and deliver Enterprise-Grade Orchestration at scale. The Opportunity At Appian, our values of Intensity and Excellence define who we are. We set high standards, approach challenges with ambition, and hold ourselves accountable to achieve the best results. As a Global Enablement Support Specialist, you will work closely with our Partner Experience Leader to help drive readiness across our global ecosystem. This role moves beyond standard coordination into a high-impact position where you will analyze performance metrics, manage programmatic workflows, and troubleshoot critical ecosystem resources to ensure our partners can seamlessly solve their customers' biggest challenges. What You’ll Do Partner with the Partner Experience Leader and Partner Sales Enablement team to guide, streamline

Position Overview The Senior Analyst – Sales Operations will serve as a strategic operational partner responsible for translating sales incentive commission plans into robust back-end data processes and converting complex business requirements into data-backed executive insights. This role requires an analytical professional who combines hands-on expertise in Google Sheets, Advanced Excel, Salesforce CRM, data wrangling, pipeline analysis, and CRM hygiene with an AI-forward mindset to streamline cross-functional operations. Key Responsibilities Commissions & Incentive Management: Thoroughly understand business commission plans and architect back-end processes, automated workflows, and data models to accurately capture required inputs, run monthly/quarterly calculations, execute timely plan rollouts, and resolve participant queries with complete transparency. Business Requirements & Strategic Reporting: Deconstruct complex business requirements into structured analytical frameworks. Build, set up, and maintain reports and dynamic dashboards that drive data-backed decision-making across key commercial initiatives, including pipeline health analysis, revenue trends, and Salesforce CRM data hygiene projects. Data Wrangling & Spreadsheet Modeling: Perform hands-on data manipulation, cleansing, and complex performance/commission modeling using Google Sheets, Advanced Excel and to bridge upstream source data with compensation and reporting systems. Salesforce CRM & Reporting: Design, build, and maintain robust Salesforce reports, analytics dashboards, and operational tracking tools to provide key performance visibility to executive leadership. Process Optimization: Evaluate end-to-end sales and operational workflows, pinpoint operational friction, and propose scalable solutions to streamline business processes. Cross-Functional Stakeholder Management: Serve as a trusted advisor and liaison across Sales, Account Management, Finance, and Business Intelligence

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company

About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in either India or Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Data Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and abilit

About the Job: As the Associate Collections Specialist, you will ensure that invoices are accepted by the customers, invoice disputes are resolved in a timely manner, payments are received on time, and be responsible for cash applications and reconciliations. You will have excellent attention to detail, solve problems, and be able to organize and prioritize multiple tasks. Responsibilities: Collections Manage an assigned book of customer accounts, monitoring aging reports and proactively following up on past-due invoices via phone and email. Prioritize and manage multiple accounts and competing deadlines independently, escalating high-risk or complex accounts as needed. Build and maintain a track record of improving collections performance, including reducing days sales outstanding (DSO) and aged receivables. Negotiate payment timelines or arrangements with customers when needed, balancing timely recovery with a positive customer experience. Cash Application & Reconciliation Apply incoming customer payments (checks, ACH, wire, credit card) to the correct invoices and accounts in NetSuite. Perform regular cash and account reconciliations to ensure payments, credits, and adjustments are accurately reflected. Research and resolve unapplied cash, short payments, and payment discrepancies in a timely manner. Customer Issue Resolution Serve as the primary point of contact for assigned customers on billing and payment questions, working to resolve disputes and discrepancies efficiently. Partner with Sales, Customer Success, and Billing teams to investigate and resolve issues affecting timely payment. Work with AWS Support to resolve AWS Billing issues Maintain clear, accurate, and up-to-date records of collection activity, customer communications, and account status. Reporting & Process Improvement Prepare regular aging and collections status reports for management. Identify recurring issues or bottlenecks in the collections process and recommend improvements. Supp

About the Job: As the Order Management Specialist, you will ensure that system inputs are complete and accurate, orders are processed in a timely manner, work with the Deal Desk and Internal Systems team to resolve issues, and ensure accounts are provisioned. You will have excellent attention to detail, solve problems, and ability to multi task. Responsibilities: Order & Opportunity Review Review opportunities in Salesforce to ensure completeness and accuracy prior to downstream processing into NetSuite, validating pricing, product/SKU alignment, contract terms, and required fields. Review Annual Recurring Revenue (ARR) on opportunities to confirm accuracy and alignment with contract terms and pricing before deals proceed through the order-to-cash cycle. Create and monitor indirect sales orders via AWS Marketplace. Work with AWS Support to resolve any offer issues or errors. Identify, troubleshoot, and resolve data discrepancies or missing information before orders progress through the order-to-cash cycle. Serve as a quality checkpoint between deal closure and financial system entry, minimizing rework and downstream billing errors. Provisioning & Deal Documentation Review and approve provisioning details to ensure customer setup aligns with the terms of the executed agreement. Partner with Sales, Customer Success, and Deal Management to confirm that all required documentation (order forms, amendments, approvals, contracts) is complete, accurate, and obtained prior to processing. Act as a point of escalation for missing or inconsistent deal documentation, coordinating resolution across stakeholders. Systems & CPQ Administration Work closely with the internal systems/IT team to ensure Salesforce CPQ configurations (pricing rules, product bundles, approval workflows) remain accurate and up to date. Support testing and validation of CPQ and Salesforce-to-NetSuite integration changes, flagging issues that could impact order accuracy or revenue processing. Con

Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you’re building product, serving customers, managing people, or running operations, AI is a tool you’re expected to use with intent, curiosity, and judgment. We don’t expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team’s AI fluency because we believe it’s a competitive advantage for every person at project44, not just our engineers. If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. In-office Commitment: Our office is where ideas spark, connection

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw

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 Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As part of the broader Addepar Data organization, the Alternatives Data Ops team is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. This role will include managing a team and reviewing Private Fund statements, modifying data that has been incorrectly extracted by our machine learning models, and reprocessing the data within SLAs. The Alternatives Data Ops team plays a critical role in the success of Addepar's Alternatives offering and requires daily communications with the Alternatives Product Team, Machine Learning Operations, clients, data providers (GPs and Fund Admins), and add

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.

Here’s a summary of the role: Every enterprise deal reaches the moment where someone in security says “prove it.” You’re the person who answers — quickly, accurately, and with the evidence to back it up. As an Analyst II on our Trust & Assurance team, you’ll own a live queue of security questionnaires, third-party due diligence assessments, RFP security sections and customer assurance requests. You’ll draft at speed using AI-assisted response tooling, then verify every answer against our approved answer library, current SOC 2 and ISO 27001 certifications and the underlying evidence before it leaves your hands. Accuracy is the whole game here: a wrong answer in a customer questionnaire is a commitment we didn’t mean to make. The best part is that you won’t just work the queue — you’ll shrink it. Every recurring question you turn into a published answer on our trust site is a ticket that never comes back. If you’ve spent two to four years in security GRC, compliance, IT audit or customer assurance, you’re precise under volume, and you like being measured on turnaround time and first-pass accuracy, you’ll do well here. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Own a high-volume queue of security questionnaires, due diligence assessments, RFP security sections and assurance requests, delivering accurate responses within SLA. Use AI-assisted response tooling to draft at speed, then verify every answer against the approved answer library, current certifications and underlying evidence before it goes out. Triage and route incoming requests using established playbooks — resolving the routine independently and escalating anything novel, contractual or architecturally complex. Maintain and expand the answer library by adding approved answers, retiring stale ones and flagging inconsistencies, so the same question never has to be researched twice. Build out trust site and customer-facing content, and show commercial teams how to

About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: Vercel is scaling fast, and we are building the financial infrastructure, controls, and operating discipline needed to support our continued growth and path to the public markets. We are looking for a SOX Manager based in India to serve as the India execution leader for Vercel’s SOX program, working in close partnership with our US-based SOX leader and the broader Finance organization. In this role, you will own key SOX execution workstreams across business process and IT controls, including walkthroughs, risk assessment, control design, testing, issue management, documentation, and audit coordination. You will partner closely with Finance, Accounting, IT, Security, Business Systems, Engineering, and external auditors to build a scalable, audit-ready control environment. You will bring strong judgment, hands-on audit experience, and a builder’s mindset to a function that is evolving quickly, helping shape how Vercel approaches controls in an AI-native, high-growth technology environment. This role will be Hybrid in the Delhi area three days a week on site. What You Will Do: Own key execution workstreams across business process, entity-level, and IT controls, implem

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Software Engineer - Systems Integration We are seeking a highly motivated Integration Engineer to design, develop, test, and maintain scalable integrations between critical enterprise systems like Oracle ERP, Salesforce, Snowflake, Agile PLM, etc. The ideal candidate will have 5+ years of hands-on experience with systems and data integration across a variety of platforms and protocols. Responsibilities: Design, implement, and maintain robust, scalable integration workflows between critical enterprise systems supporting Finance, Sales, Marketing, HR, Engineering, IT, etc Partner with Business and IT stakeholders to implement integration capabilities, data transformations and enrichment, error handling, re-startability, and system monitoring Monitor integration jobs for performance and errors; perform troubleshooting and issue resolution Continuously monitor and address optimization opportunities toward simplification and efficacy Assist with security and compliance requirements related to data handling, including secure file transfers and encryption practices Implement and support