Advanced Package Technology Development Engineer Jobs

Role Description As a Senior Account Executive, you will play a key role in helping customers achieve better business outcomes with Dropbox’s full suite of products. You’ll build trusted relationships with both existing and prospective customers, develop a deep understanding of their priorities, and connect them with Dropbox solutions that improve how their teams organize, collaborate, share, and secure their work. This role combines strategic account management with strong sales execution. You’ll partner closely with customers and internal teams to develop account strategies, demonstrate the value of Dropbox’s integrated product portfolio, and deliver solutions that support customers’ evolving needs. This is an opportunity to help customers get more value from Dropbox while directly contributing to the company’s growth and long-term customer relationships. Responsibilities Own the full sales cycle from pipeline generation through close and renewal within your territory Build pipeline from scratch by prospecting into new teams, departments, and executive stakeholders Expand beyond existing motions to uncover new use cases and opportunities Consistently generate pipeline through outbound efforts, account mapping, events, and partner collaboration Forecast accurately and manage pipeline to consistently meet or exceed revenue targets Lead strong discovery to uncover customer challenges, priorities, and desired outcomes Apply structured qualification and value-selling frameworks (e.g., MEDDICC, SPICED) to advance deals Clearly articulate business impact and position Dropbox solutions around outcomes, not features Drive deal momentum by building urgency, aligning stakeholders, and establishing clear next steps Contribute to evolving GTM strategy by refining ICP, messaging, and use cases (e.g., Dash) Collaborate cross-functionally and bring insights from the field to influence Product and GTM Requirements 6+ years of B2B SaaS sales experience, ideally including time in ea

Build What Matters. Build Your Future. Catamount builds the spaces communities depend on every day. From distribution centers that keep goods moving and medical facilities that provide critical care, to housing, restaurants, and fire stations serving local neighborhoods, our work supports real life. As a best-in-class, 100% employee-owned general contractor with a national reach, we complete projects across diverse markets and regions. This diversity empowers us, keeps our teams moving forward, and creates long-term opportunities for the people shaping our company. Why choose Catamount? We’re financially stable, growing, and built for the long haul. Our extensive national backlog and diverse project types provide stability, momentum, and opportunities. At Catamount, careers advance. Employee-owners can grow, move between project types and markets, and build long-term careers without starting over. Teams are carefully staffed, work-life balance is prioritized, and our people are seen as long-term assets. Diverse work. Real stability. Shared success. Position Overview: Assists Project Managers and Project Engineers in setting up, maintaining, and closing out projects in the accounting system. Monitors Subcontractor compliance and authorize payment release, contract administration, and other administrative duties assigned. Role & Responsibilities: Provides daily administrative support for the Project Team, prioritizing workflow within multiple projects. Maintain open communication with Project Teams regarding project issues, payments, etc. Build Work Authorizations, Professional Service Agreements and Purchase Orders in Procore. Review Master Subcontract Agreements, Work Authoriza

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features. What You'll Do Establish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform e

JOB TITLE: Senior Security Software Engineer (Backend Focus) CLASSIFICATION: Exempt Approved by: Jitendra Patil EXPERIENCE: 5–10 Years Approved Date: REPORTS TO: Shivendra Ashish Revised Dates: POSITIONS SUPERVISED: Core Responsibilities: Security Microservices: Architect and build centralized security services (e.g., Authentication/Authorization, Secrets Management, PKI) using high-performance languages. Secure Libraries: Develop standard SDKs/Libraries that abstract complex security logic (Encryption, Input Validation) for other engineering teams. Automated Remediation: Build bots or "Self-Healing" code that automatically detects and fixes infrastructure misconfigurations or code vulnerabilities. AI Security ( AISec ): Build guardrails and "Firewalls" for internal LLM applications to prevent data leakage and prompt injection. Must-Have Skills: Backend Engineering: Expert in Golang or Python. Ability to write production-grade, testable, and concurrent code. System Design: Strong understanding of distributed systems, microservices architecture, and API design. Application Security: Deep knowledge of OWASP standards, Cryptography fundamentals, and Auth protocols (OAuth2/SAML/OIDC). DevSecOps : Experience integrating security checks into CI/CD pipelines (Linters, SAST/DAST wrappers). Preferred / Nice to Have: Experience with Policy-as-Code frameworks (e.g., OPA). Knowledge of Service Mesh security patterns. Experience contributing to open-source security projects. Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. Disclaimer: The above statements are intended to describe the general natu

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase’s EU Legal team helps build the future of finance by turning complex regulation into practical paths forward. In this role, you’ll advise our European businesses on the legal questions that shape how we launch products, enter markets, and serve customers. You’ll partner with business leaders, Compliance, and the global Legal team, bringing clear judgment and ownership to decisions that advance Coinbase’s mission to increase economic freedom. What You’ll Do Partner with business leaders and Compliance to advise on EU and international e-money, payment services, financial services, and digital asset requirements. Advise regional operating entities on new products and services, intercompany arrangements, commercial relationships, banking partnerships, and retail and institutional terms of business. Guide product launches, market expansion, and marketing initiatives across jurisdictions, coordinating with the US-based Legal team and other regional counsel. Monitor European and international legal and policy developments, explain their business implications, and support Coinbase’s advocacy for effective digital asset regulation. Assess legal and regulatory risks, recommend practical solutions, and improve processes to support a growing international business. Manage outside counsel on specialist matters and projects, maintaining internal expertise and accountabil

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac Multifamily Loan Servicing seeks a Servicing Efficiency & Transformation (SET) Associate to drive operational excellence, automation, data analytics, and platform initiatives. This role connects business operations with technology to modernize servicing processes, reduce risk, enhance reporting, and improve efficiency. Our Impact: The SET team supports core servicing functions for active Multifamily loans and securities, focusing on automation, analytics, system implementation, process redesign, vendor coordination, and business intelligence. Our work improves efficiency, controls, reporting, and advances Freddie Mac's mission in the rental housing market. Your Impact: You will develop automation solutions, support technology initiatives, deliver business intelligence, and enhance servicing processes. Collaborate across departments to identify opportunities, solve challenges, and implement scalable solutions. Key Responsibilities: Automation & Process Improvement: Design, develop, and maintain automation using Python, SQL, Power Automate, SharePoint, and AI tools. Identify and eliminate manual processes; drive workflow optimization. Data Analytics & Business Intelligence: Build dashboards and reports with Tableau, Power BI, and SQL; analyze data for trends and risks; deliver management reporting and actionable insights. Product & Platform Support: Participate in technology initiatives, gather requirements, support implementation/testing, and act as liaison between business and tech teams.

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Engineer, GQ Ops IE Modeling and Automation Job Summary As an Engineer, GQ Ops IE Modeling and Automation, you will support automation strategy, system enablement, IE modeling, planning tools, and data governance for GQ Ops. This role contributes to transformation initiatives by developing and deploying automation solutions, enabling AMHS integration, improving scalable planning systems, and supporting data-driven operations to reduce manual touchpoints, improve reliability, and advance the GQ Ops reliability lab toward a future-ready operating model. The engineer will work closely with GQ Ops, Process Engineering, Planning, IE, Central and Site Automation, IT, Facilities, and vendors to identify automation opportunities, define process-side requirements, implement practical solutions, improve planning accuracy, and enable increasingly automated, standardized, and data-driven execution for GQ Ops. Key Responsibilities Lab Automation Strategy and Deployment · Contribute to the GQ Ops automation transformation roadmap by identifying and implementing opportunities to reduce manual effort, improve qualit

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Product Marketing team’s mission is to generate customer insights that inform Stripe’s product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch. What you’ll do We’re looking for an experienced writer to develop data-backed theses and original content pieces about how startups and AI-native businesses launch, monetize, and grow. In this role, you’ll collaborate closely with contributors across the product marketing, product, engineering, and demand generation teams to produce compelling content that engages and informs our audience. This is a unique opportunity for a collaborative writer and content producer who excels at translating complex concepts in AI, billing infrastructure, and revenue growth into accessible insights. Responsibilities Own content covering revenue strategies and pricing models, startups, and new developments in AI, working closely with product marketing to ensure our content reflects the latest industry advances and product news Coordinate with the demand generation team to identify opportunities for n

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As an intern at Affirm, you will be a contributing member of our outstanding engineering team, and as such you will work on meaningful projects and frequently ship code. Recent grads and past interns have built a real-time high-throughput data processing pipeline, developed an extensive automated testing framework, and built out our proprietary financial platform that is central to our long term company mission. We are excited to meet and consider strong students for our 12-16 week internships. We are a dynamic organization that is happy to tailor projects to your skills, and we will work with you throughout the interview process to determine which team will be best for you. What You'll Do Interns are responsible for developing and shipping a project and verifying that it works in production. Because things are changing fast at Affirm, we do not specify intern projects in advance, instead you will collaborate with your mentor and manager when you start to spec a project that will best contribute to your team. This role will ship code and monitor the deployment of your work. Our intern projects are not isolated or intended to be thrown away: your team will depend on your contributions! We pair interns with a dedicated mentor who will be by your side to give advice and ensure the success of your project. Expect to meet with them on a regular basis and receive feedback. There are opportunities to attend events with other interns and full-time Affirmers! Past events have included virtual cooking classes, executive fireside chats, cable car trolley tours, and Giants games. Interns present their work to the entire engineering organization at the end of the internship. What We Look For Passion and dedication to changing consumer banking for the better Experience with Python, C/C++ or Java Frontend

Levanta is the creator affiliate platform built for modern e-commerce. We connect brands, creators, publishers, and marketplaces through a single platform for creator discovery, activation, partnership management, payments, and cross-channel performance measurement. Through our Creator Marketplace and AI-powered Social Discovery, brands can access more than 90,000 vetted creators and millions more across TikTok, Instagram, and Facebook, building measurable creator partnerships across Amazon, Walmart, Shopify, and other retail channels. Following our recent $22 million Series B, which brought our total funding to more than $43 million, we are investing further in our technology, our team, and our expansion across the retail ecosystem. We are building the infrastructure for Creator Commerce Media and creating more opportunities for brands to grow, creators to earn, and marketplaces to generate measurable demand. We are seeking a motivated and dynamic Sales Development Representative (SDR) to join our growing sales team. The SDR will play a crucial role in driving the growth of Levanta by identifying and generating new business opportunities through outbound and inbound sales efforts. This position is ideal for an ambitious individual looking to launch or advance their career in sales within a fast-paced, innovative company. What You'll Do: Prospect and Generate Leads: Identify potential clients and key decision-makers through research, networking, and cold outreach. Utilize various tools and strategies to generate and qualify new leads. Outbound and Inbound Sales Activities: Conduct high-volume outbound prospecting (email, phone, and LinkedIn) to engage potential customers. Respond to and qualify inbound leads generated by marketing campaigns. Pipeline Management: Manage and maintain a pipeline of interested prospects and engage them effectively to convert into sales opportunities. Use CRM software to track and manage leads, ensuring accurate and up-to-date informatio

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid's Europe Sales team helps the most innovative companies in financial services build the experiences their end users come back to. We partner with the largest, most technically forward organisations in the UK and Europe, from scaled fintechs and neobanks to lenders, payments platforms, and forward-thinking financial institutions, to bring Plaid's platform into the core of their products. We don't sell payments alone. We sell the customer understanding that drives loyalty and intent, with payment initiation, data, verification, underwriting, and insight on one platform. Through this work, we help advance our mission of unlocking financial freedom for everyone. We're looking for an Enterprise Account Executive to join our Europe Sales team. You'll own a curated territory of named accounts with very high revenue potential and lead full-cycle, multi-product sales into them. You'll build executive relationships, identify and quantify Plaid's business impact across your accounts, and go deep and wide within each organisation to build the support needed to win. You'll also lead a cross-functional deal team spanning Sales Engineering, Account Management, Product, Risk, and Legal, and

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid's Mid-Market Sales team helps innovative, high-growth companies across Europe become fintech-enabled. We partner with product, engineering, and commercial leaders at fast-scaling, established businesses to bring Plaid's platform into their stack. We're more than a sales team: as strategic advisors and growth enablers, we expand Plaid's reach into new use cases, sectors, and markets and help advance our mission of unlocking financial freedom for everyone. We're looking for a Mid-Market Account Executive to join our Mid-Market Sales team in Europe. You'll lead full-cycle sales with high-potential companies building the next generation of financial services, owning each relationship from first touch through close. You'll run consultative sales motions with technical and commercial stakeholders and play a key part in shaping how Plaid scales its mid-market motion across Europe. Responsibilities Pinpoint and secure commercial partnerships with rapidly scaling organisations throughout Europe. Manage the complete end-to-end sales motion, from initial prospecting and qualification through to final contract execution and handover. Advise product and engineering leaders through techni

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di