Salesforce Adminstrator Jobs

About This Role This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new customers, and directly contributing to the success of our organization. Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles. This role is based in San Francisco and will not be remote. Who You Are: A go-getter who is hungry for personal growth and career advancement Someone who understands the power and value of data in driving innovation and business initiatives Someone who is principled, honest, humble, and hard-working What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely love with people you enjoy being around Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales Owning your sales process — from first call to demo to proposal to proof of concept to contract Working alongside a team of motivated reps on a high-functioning, energetic team Bringing on new customers and developing advocates for Sigma in the business intelligence market Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives Generating new revenue for a rapidly growing company Your Qualifications: Ideally 2+ years of experience closing deals Experience in the data space (Warehouses, Pipelines, Analytics, etc.) is prefe

The Role: This is not your average sales role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Business Development Representatives (BDRs) are set up to thrive, receiving elite sales, product, and industry training. With hands-on coaching from seasoned sales leaders, you’ll learn how to develop a sales strategy, drive meaningful prospect connections, engage in consultative selling, and become a trusted advisor. Altogether, this experience is designed to prepare you for a future in sales leadership. Working with Sigma gives you the opportunity to get in on the ground floor of a remarkable startup. The Business Development Representatives of today are the Account Executives and sales leaders of tomorrow. BDRs serve on the front lines of new business, making this one of Sigma’s most critical roles. This is an in-office role, which means the expectation is that you would come to the office 5 days a week. Who You Are: A go-getter who is hungry for personal growth and advancement A team player who doesn’t want to work a mundane 9-to-5 A total nerd who understands the power of data in driving unstoppable teams A deeply principled person guided by honesty, integrity, and humility What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely love with people you enjoy being around Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Partnering with Account Executives to identify high-priority target accounts Prospecting, educating, and qualifying those accounts to create sales-ready opportunities Cold calling contacts and running outbound prospecting sequences in Outreach Overcoming objections through consultative selling Becoming a trusted advisor by growing relationships with prospects Effectively using Salesforce, Outreach, ZoomInfo, and LinkedIn to e

About This Role This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new customers, and directly contributing to the success of our organization. Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles. Who You Are: A go-getter who is hungry for personal growth and career advancement Someone who understands the power and value of data in driving innovation and business initiatives Someone who is principled, honest, humble, and hard-working What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely love with people you enjoy being around Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales Owning your sales process — from first call to demo to proposal to proof of concept to contract Working alongside a team of motivated reps on a high-functioning, energetic team Bringing on new customers and developing advocates for Sigma in the business intelligence market Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives Generating new revenue for a rapidly growing company Your Qualifications: Ideally two or more years of experience closing deals Experience in the data analytics or BI space (Looker, Tableau, Domo, etc.) is preferred Background in high-tech software sales is

Strategic Commercial Account Executive About This Role This is one of the most critical positions at Sigma. The success of our business depends on bringing in the right customers, at the right stage of their growth, and this role focuses on the Mid Market accounts at the center of that effort. The right candidate will have the rare ability to open doors at the highest levels, navigate complex organizations, and drive deals that change the trajectory of both our customers’ businesses and ours. Sigma is growing at over 80% year over year, and this role is an opportunity to be at the forefront of that momentum. You’ll work directly with some of the best leaders in the industry, learning how to build relationships, influence decisions, and close transformative deals. If you succeed here, you won’t just have a great job—you’ll have a career-defining experience where you will earn your sales MBA. This role is based in San Francisco and is critical to the success of our business. It is not a remote position—you will be in the office four days a week, working side by side with some of the best in the industry. This is not just about being present; it’s about being immersed in a fast-moving environment where decisions are made, deals are won, and careers are built. Our office culture is passionate, collaborative, and rewarding. Travel: Travel is expected locally to the Bay Area and to the west coast 25% of the time. We encourage and do not limit in person meetings with prospects, customers, and partners. Who You Are: A high-impact, forward-thinking professional eager to drive innovation and shape the future of data-driven business strategy. A self-starter who thrives at a fast pace and takes ownership of big initiatives. Proven track record of multi-threading & navigating complex deal cycles with large ASP A strategic thinker who understands how data fuels transformation, decision-making, and competitive advantage. Runs value b

About This Role This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and we invest heavily in our team. Our Account Executives are set up to thrive while generating a meaningful pipeline, winning new customers, and directly contributing to the success of our organisation. Working with Sigma gives you the opportunity to join a high-growth company at an exciting stage. Our Account Executives are crucial to expanding our customer base and driving continued growth, making this one of Sigma’s most impactful roles. Who You Are: A go-getter who is hungry for personal growth and career advancement Someone who understands the power and value of data in driving innovation and business initiatives Principled, honest, humble, and hard-working What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely enjoy with people you value working alongside Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce Using knowledge of the data and analytics space to engage a diverse range of businesses in consultative sales Owning your sales process from first call to demo to proposal, proof of concept, and contract Collaborating with a motivated and high-performing sales team Bringing on new customers and developing advocates for Sigma in the business intelligence market Engaging with partners in the data ecosystem to build pipeline and support customer initiatives Your Qualifications: Ideally two or more years of experience closing deals Experience in the data analytics or BI space (e.g. Looker, Tableau, Domo) preferred Background in high-tech software sales preferred Demonstrated success in pipeline generation and quota attainment Partnership and co-selling experience pr

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

About the Job: We're looking for a Senior EMEA Marketing Manager to lead marketing in the region, in close collaboration with Sales, with field activities and events as the core part of the role. This is a senior, individual-contributor position for someone who knows how great regional B2B marketing programs are built — from tactics through hands-on execution — and who's looking to shape and build the approach rather than run a standard playbook. You'll join a growing international marketing team in an essential role for the team and business, reporting to the International Marketing Director. You'll take full ownership of the EMEA field calendar and act as the region's on the ground presence, with the scope to also contribute to broader regional marketing campaigns. In this role, you'll get to innovate and design impactful, memorable experiences that drive real results. Responsibilities: Own the EMEA field calendar end-to-end — from tactics and planning through execution and post-event follow-through, across owned events, third-party conferences, sponsorships, executive roundtables, and partner co-marketing events etc. Lead regional sponsorship approach and vendor management — negotiate sponsorship packages and deliverables, coordinate on assets and work with agencies, partners and vendors. Design differentiated, memorable experiences — go beyond the standard execution model to create formats that genuinely engage audiences and build awareness around the brand. Partner closely with EMEA Sales — work hand-in-hand with Sales and SDR teams on field activities, on-site engagement, and structured post-event follow-up. Act as a confident, credible voice with internal stakeholders to represent Marketing. Own reporting and ROI — track leads, pipeline capture, and spend against your Marketing activities and campaigns, and report results back to leadership. Operate independently — take action and define approach, budget requests, format, and vendors in line with Sales

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 As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D

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