Hands On Java Developer Jobs

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Lead Designer on Nextdoor's Consumer Product team, you'll help shape the future of how neighbors connect with one another, their neighborhoods, and local businesses and events. You'll join a collaborative team of designers, product managers, engineers, and researchers working to evolve and improve the experience across our platform. We're hiring a player-coach to lead craft for Consumer Design, someone who runs a rigorous crit, coaches designers toward their next level, and holds the line when speed and quality trade off, while still shipping hands-on work themselves. Deeply human-centered and mission-driven, you're excited to create digital experiences that strengthen real-world connections and empower neighbors to build stronger communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Are you excited by the challenge of

About the Team OpenAI’s acquisition of io marks our entry into consumer hardware and our ambition to define the next human–computer interface. Success in hardware requires strong financial stewardship across the full product cost stack—from early design and sourcing decisions through manufacturing, logistics, inventory, returns, and warranty. Hardware Finance works across Product, Supply Chain, Operations, Accounting, Systems/Data, and Finance to connect business decisions to product cost, inventory, cash, COGS, and margin. About the Role We are seeking a Hardware Finance Manager to own an assigned area of hardware COGS and inventory end to end. The initial assignment will depend on business priorities and the successful candidate’s expertise. It may include BOM and product cost, manufacturing variance analysis, inventory planning, logistics, returns and warranty, customer support, or another connected set of hardware-finance responsibilities. This is an individual-contributor role with broad scope. Prior hardware experience and deep, hands-on expertise in at least two relevant domains are required. The person will be expected to operate independently, build reusable processes and analytical workflows, and remain accountable for the analysis, judgment, and recommendations. In this role, you will: Own an assigned area of hardware COGS and inventory end to end. Own forecasting, close, and business variance analysis for the assigned scope. Provide hardware leadership with clear variance explanations, trend analysis, and forward-looking signals that connect business and supplier decisions to inventory, cash, COGS, and margin. Partner with business teams and Finance Platforms to establish the financial data, systems, and dashboards needed to support analysis. Ensure data integrity and governance through clear definitions, ownership, validation checks, controls, and review processes. Improve forecasting, reporting, systems, and finance processes so they remain reliable an

About the Team OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. About the Role As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations

About the Team The Intelligence and Investigations team is dedicated to ensuring the safe, responsible deployment of AI by rapidly detecting and mitigating abuse. Our team leverages the latest testing methodologies to uncover vulnerabilities and emerging threats, helping safeguard OpenAI’s products and users. We work closely with cross-functional partners across product, policy, and engineering to drive a comprehensive defense strategy against evolving adversarial challenges. About the Role As a Red Team Specialist focused on cyber, you will help answer two practical questions: What cyber capabilities can our models provide to real-world attackers, and do our safeguards remain effective when those attackers use increasingly sophisticated techniques? The role combines scaled evaluation with expert-driven testing. You may bring deeper experience in cybersecurity and use that expertise to judge whether a model’s behavior meaningfully changes attacker capability. Alternatively, you may bring deeper experience in model evaluations, automation, or agentic harnesses and apply those skills to building rigorous cyber testing. We do not expect every candidate to be equally deep in both areas, but successful candidates will have a strong foundation in one and enough fluency in the other to work effectively across the boundary. Most of your work will focus on model cyber capabilities and safeguards; you will also spend a portion of your time testing novel abuse risks in agentic systems. This role is located in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and run rigorous evaluations of model cyber capabilities and safeguards, including policy adherence, correct refusal, over refusal, and resilience to jailbreaking and other adversarial techniques. Conduct hands-on testing to understand what models can enable when used by experienced security practiti

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We’re well on our way, but there’s still an exciting journey ahead. Join us at the heart of trust. We are on the lookout for an exceptional Senior Video Producer to be the craft lead on our video output taking ideas from brief to final cut and making content that resonates with audiences and drives real impact across our channels. This is a dynamic, high-impact role in our in-house Studio team. You'll be the person who takes a brief and runs with it through every stage of production. From brand films and customer stories to social content and executive communications, you bring consistency, technical craft, and creative flair to our video output, always with an eye on quality, efficiency, and results. You'll work alongside our designer, copywriter, and content specialists and have the autonomy to shape how the work gets made, and a creative leader to push your thinking and back your ideas. What you'll be doing: Produce our video work end to end including ideation and storyboarding through to lighting, shooting, editing, and delivery. Lead hands-on filming and production, being readily available for shoots at our London office, as well as occasional on-location filming across the UK (and potentially beyond). Deliver strong post-pro

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you'll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more — helping them design and ship production infrastructure on Modal's platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. You will: Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal Lead technical discovery and architect

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. Drive customer impact by designing, implementin

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're hiring a VP of Finance to build the finance function from the ground up as our first full-time finance hire. This is a high-impact role for someone who thrives at the intersection of strategic thinking and hands-on execution. We are looking for someone who can architect the systems and processes that will scale with Modal, partner closely with the founders and executive team, and grow into the company's CFO. You'll report directly to the CEO and collaborate closely with our BizOps, GTM, and Product teams. In this role, you will: Build and maintain Modal's operating model, tying financial performance to company KPIs and resource allocation Lead all budgeting, forecasting, and long-range planning processes, and develop the reporting infrastructure that gives leadership and the board clear, timely visibility into the health of the business Partner with the found

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure—from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. What You'll Do: Platform & Runtime Security Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) Strengthen boundaries between customers, workloads, and internal systems Identify and mitigate risks in distributed, dynamic compute environments Container &

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POC’s through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Leadership Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. Set clear goals and ensure timely, high-quality d

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. Drive customer impact by designing, implementin

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role We're seeking a Revenue Operations Manager with a strong track record, a builder's mindset, and a bias for action to join our in-person team in New York or SF. This is a high-impact, hands-on role. You'll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You'll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion. What You'll Do: Own the lead routing process from inbound and partnering with marketing to ensure proper attribution Run effective territory management & strategy for Geo based decisioning Support & strategise every aspect of revenue operations in your territory Own the strategy for capacity forecasting, inputs, throughputs & outputs being the conduit back to finance in

Coder is looking for a Partner Marketing Manager to shape how our partners understand, position, and sell Coder. You will help turn strategic partnerships into practical go-to-market programs that create pipeline, support revenue, and help more teams adopt and scale governed AI development infrastructure. In this role, you will work across Partner, Product, Marketing, and Sales to build partner messaging, enablement, competitive insights, and co-marketing motions. You will bring structure to complex partner ecosystems, with a focus on AWS, WWT, and other strategic partners. What you’ll do here Work with partner marketing to develop and execute channel marketing strategies that create measurable pipeline, revenue, and product adoption through AWS, WWT, and strategic partners. Create partner-ready positioning, messaging, value propositions, and content for partners and their customers. Build scalable enablement programs and materials that help partner sales teams position and sell Coder with confidence. Partner with partner marketing to design and run co-marketing programs with key partners, including campaigns, webinars, and events. Develop and maintain global partner marketing frameworks that align with Coder’s global go-to-market strategy. Lead cross-functional alignment across Partner, Product, Marketing, and Sales to shape partner GTM motions, integration priorities, and co-selling strategy. Work closely with Product Marketing to build competitive intelligence for partner ecosystems and identify opportunities to differentiate Coder. Collaborate with partner marketing, marketing operations, and relevant teams to improve the Partner Portal and strengthen the partner experience. Serve as the product marketing owner for strategic partnerships, representing partner needs and market insights in product and GTM decisions. What we’re looking for 5+ years of cloud, channel or ISV partnerships or partner marketing experience. Hands-on experience working with service and te

Developers don’t want more marketing. They want relevance, technical depth, and experiences worth showing up for. As Field Marketing Manager you will help bring Coder’s regional marketing programs to life. You will execute field and ABM programs that build awareness, support sales, and create pipeline across the North American market. You will work closely with a Senior Marketing Manager, sales, partners, and the broader marketing team. You will coordinate events, activate campaigns, and keep programs moving on time and on brand. What you’ll do here Execute regional field marketing plans aligned to global strategy and North America priorities. Run virtual and in-person events that people actually remember, from platform engineering roundtables to developer meetups to enterprise field programs. Support lead generation and pipeline goals through strategic programs, clear handoffs, and timely follow-through. Partner with global marketing teams to localize campaign content and messaging for North American audiences. Help execute co-branded campaigns and joint event opportunities with strategic alliances, resellers, and channel partners. Partner closely with sales on ABM plays for high-priority accounts, helping turn target account lists into real conversations and pipeline. Coordinate account-specific assets, communications, and campaign touchpoints that support sales outreach and pipeline creation. Support pre-event ABM motions, including target account coordination, personalized outreach support, and follow-up planning. Keep projects organized, timelines moving, and chaos to a minimum across regional campaigns and events. What we’re looking for 4–7 years of field marketing experience, preferably in B2B technology or developer-focused companies. Hands-on experience executing regional field marketing programs, including events, partner campaigns, and sales-aligned marketing motions. Experience supporting or executing account-based marketing programs, including target ac