Lead Fullstack Staff Software Engineer Pam Jobs

Job Summary LANEIGE US is seeking a strategic, highly collaborative PR Manager to lead the development and execution of integrated communications initiatives that elevate brand awareness, strengthen cultural relevance, and drive earned media value and influence. This role will oversee high-profile projects across media, influencer marketing, events, and brand partnerships ensuring seamless best-in-class execution from concept through completion. The ideal candidate has 4-5+ years of PR/Influencer Marketing experience within the beauty industry, preferably in-house, with a strong understanding of the evolving beauty and creator landscape. This individual is an exceptional project manager and strategic thinker with a proven ability to manage multiple priorities and execute campaigns that drive measurable business results. Must thrive in a fast-paced environment, demonstrate cross-functional collaboration, and possess excellent written and verbal communication. Principal Accountabilities Lead the development and execution of integrated PR programs across influencer marketing, earned media, brand partnerships, product launches, and cultural moments to drive brand awareness, engagement, and advocacy. Own end-to-end management of influencer campaigns, including creator identification and selection, briefing, timeline development, agency and talent communication, contract coordination, content review, approvals, posting oversight, and campaign recaps. Support the planning and execution of experiential marketing strategy, including influencer events, consumer activations, retail experiences, community engagement programs, and brand partnerships that bring the brand story to life. Collaborate cross-functionally with Brand Marketing, Social, Paid Media, Creative, Digital, E-commerce, Retail Marketing, and Global teams to ensure integrated storytelling and seamless execution across all consumer touchpoints. Build and maintain strong relationships with influencers, talent

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like A

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

About the Team DoorDash Labs is an independent team within DoorDash. We're hiring an Associate Operations Manager to help lead a team working on robotics solutions solving real business problems. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role This role acts as an associate operations manager at DoorDash Labs. You will ensure that DoorDash Labs executes operations efficiently and maximizes operations to its full potential. You will report to the General Manager on our robotics team in our DoorDash Labs organization. You will be 100% in-office and in-field throughout the Greater Salt Lake Area with some limited travel potential to other new markets if the need arises. You’re excited about this opportunity because you will… Rigorously tracking daily KPIs and work with all sides of our operations to maximize our output and commercial availability of supply Establish strong relationships and followership with the general manager, operations team managers and a co-located service team, motivating the whole team to work as one Incorporate, adopt and refine daily and weekly processes for the management of real-time operations, working closely with other leaders Build strong relationships with cross-functional partners, including remote assistance, technical program management, facilities, engineering and many other key stakeholders to provide an understanding of the current state of operations and resource allocation Contribute with creative operational solutions to complex and ambiguous technical problems, unlocking the next big autonomy bet Provide onsite leadership and expertise for incident response, in the case things don’t match expectations and need guidance and leadership Work effectively in gray space, bringing clarity to uncertainty, to enable tactical and strategic decision making and push the program forward! We’re excited about you because you ha

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

About the Team DoorDash Labs is an independent team within DoorDash. We're hiring a Senior Operations Associate to lead a team of operators to execute against autonomy goals. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role We are looking for a driven Senior Operations Associate who is excited about managing a dynamic operations team leading the forefront of delivery technology. You will manage a PM shift (2:30-12:30AM MST) of our operations team supporting autonomous testing, bringing autonomous technology from ideation to commercialization. You will report to an Associate Operations Manager or Operations Manager on our robotics team in our DoorDash Labs organization. This job is 100% onsite at our Operations Hub in Mesa, AZ with some duties in Chandler and Tempe, AZ. You’re excited about this opportunity because you will… Manage a component of our operations Effectively communicate status updates to key stakeholders, including timely identification and escalation/resolution of issues Serve as an escalation path for issues in the field, to include incidents and onsite presence depending on severity Maintain an “and not either or” attitude when it comes to balancing business needs, costs, and safety Be an expert in our autonomous technology and help track and convey changes to it Strive to push metrics and add to them personally We’re excited about you because you have… 4+ years of experience (preferably in the autonomous industry or with strong interest) Managed an operationally efficient team through multiple product phases A proven track record of operating in cross-functional initiatives and succeeding in a complex and fast moving environment An analytical mindset and can deliver actionable recommendations out of complex situations; Proficiency in gSuite, JIRA and SQL is preferred but not essential Notice to Applicants for Jobs Located in NYC

About the Job: We are seeking a strategic, results-driven Head of Customer Marketing to own and lead our global customer marketing function. This role has significant influence on shaping brand messaging and positioning for LaunchDarkly as well as influencing customer health and retention. This leader will partner closely with executive leadership and cross-functional teams to turn customer insights and advocacy into measurable business impact. This individual will build and scale our customer advocacy and adoption programs. The ideal candidate will bring a combination of building deep customer relationships within a company as well as experience building repeatable frameworks and enabling both quality and quantity of customer advocacy. They will set the strategy, operating model, and priorities for the function while building strong executive and customer relationships. Responsibilities: Own the global customer marketing strategy and roadmap, aligning programs to company and GTM priorities. Lead our customer storytelling program. Build a steady pipeline of customers who are excited to share stories about how they are solving their biggest business challenges, how they are evolving in the AI-era, and how they use LaunchDarkly as part of their AI SDLC. Support the executive advisory board program in partnership with senior leadership, coordinating logistics, content, and follow-up with customer decision-makers. Source and interview customers (in-person and on camera) to produce customer case studies in the form of written case studies, videos, and quotes. Source and manage customers who speak live alongside LaunchDarkly at both buyer and internal events. Oversee all peer review programs (G2, Peerspot, Gartner Peer Insights, and TrustRadius) to ensure LaunchDarkly maintains leader status on all platforms. Manage and continuously improve advocacy programs and incentive strategies within established budget and policy guidelines, using data to recommend optimizations to

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The strongest enterprise and mid-market marketing doesn't lead with a product — it leads with the problem a buyer already has. A hospital administrator isn't looking for "Lyft Concierge"; they're looking to reduce missed appointments. An auto dealer principal isn't looking for a rideshare product; they're looking to keep loaner logistics from costing them revenue. We are in the process of revising our go-to-market for Lyft Business to organize around these audiences and their transportation problems, with Concierge, Lyft Pass, Business Profiles, and our Business Travel products positioned as the answer to a clearly named pain point by customer profile. We're hiring an Industry Marketing Manager to build that audience-first structure for our priority verticals, starting with Healthcare and Automotive , across both mid-market and enterprise segments. You'll own the vertical narrative and the content, demand generation strategy, and enablement that will drive marketing-attributable revenue. The primary function of this role is to build and lead vertical-specific go-to-market (GTM) motions for our mid-market and Enterprise business — bringing together vertical-specific content, demand generation, and sales enablement into a coherent, audience-first strategy. Responsibilities: Own vertical strategy and integrated programs Design and execute large, orchestrated tentpole programs for our priority verticals (no more than 2 per quarter) — multichannel activation spanning digital, live events, paid media, social, and press — that bring our value proposition and industry point of view to life for a defined buyer (e.g., hospital CFO, healthcare operations leader, dealer principal/service manager). Build and maintain a thought leadership agenda for each prioritized vertical: original research, proof p

P-1577 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Datab

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 . Team/Role Overview The GFCO Programs team is the end-to-end DRI for the financial crimes compliance operations experience and automation across Coinbase's global product and entity footprint. We design, govern, and continuously improve compliance operations through AI-first principles, ensuring regulatory soundness, protecting Coinbase, and delivering a better experience for our customers. We partner deeply with Central Compliance, Compliance Technology, Engineering & Architecture (EAA), GFCO Operations, Analytics, Workforce Management (WFM), Financial Crimes Data Intelligence (FCDI), and Legal to translate regulatory obligations and operational opportunities into scalable, durable programs across all compliance workstreams, products, and jurisdictions — including Suspicious Activity Monitoring (SAM), Enhanced Due Diligence (EDD), Screening, and Complaints. As a GFCO Program Manager (L6), you will serve as a senior, independent program owner within GFCO Programs — owning one or more complex compliance program verticals end-to-end. You will operate with a high degree of autonomy, drive alignment with Director+ stakeholders, and lead programs that span 5+ cross-functional teams, including external parties. You will act as a thought partner to GFCO leadership and be the connective tissue between Compliance Technology, EAA, Operations, WFM, and Central Compliance. &n

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: Recruit a high-performing engineering team. Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with sta

CPI Security , based in Charlotte, North Carolina, is looking for a high-impact Learning & Development Manager to lead enterprise training, onboarding strategy, employee enablement, leadership development, and key talent management processes across the organization. This role partners closely with business line leaders, corporate teams, field leaders, and trainers across the company to ensure employees are equipped, aligned, and developed to perform at their best. The Learning & Development Manager will also lead CPI’s recurring talent review process, support leadership coaching initiatives, and drive consistent training operations across business lines. This is an excellent opportunity for a strategic, hands-on learning leader who can operate with independence, influence senior stakeholders, coach leaders, and bring strong structure and operational rigor to a fast-moving environment. What You'll Do: Enterprise Learning Strategy & Business Line Partnership Own and evolve CPI’s enterprise learning strategy across corporate and field business lines. Partner with divisional leadership and trainer teams to identify training needs, prioritize initiatives, and deliver measurable learning outcomes. Build strong operating rhythms with business line partners, including regular stakeholder check-ins and participation in key leadership meetings. Align learning programs with business priorities, employee readiness needs, and organizational goals. Product, Feature & System Release Enablement Lead the training enablement workstream for product, technology, and IT releases. Partner cross-functionally with Product, IT, Marketing, Operations, and field leadership to coordinate launch readiness. Create, curate, and distribute launch collateral, including job aids, announcements, training materials, and communication plans. Ensure trainers and front-line teams receive release materials in advance, with clear expectations, sequencing, and rollout guidanc

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. The social team helps bring OpenAI’s work to people around the world, translating complex ideas into clear, accessible, and timely content and stories across platforms. The team supports OpenAI’s mission by helping people understand how to use AI in practical, meaningful ways, while clearly and authentically communicating our technology, values, and approach to safely building powerful AI. About the Role Do you want to be one of the people behind the @ChatGPT handle on Linkedin? We’re looking for a smart and accomplished Social Media Manager (IC) to drive and manage long-tail evergreen educational social content primarily around OpenAI products on Linkedin and YouTube from the @ChatGPT and @OpenAI accounts. This role sits at the intersection of AI, education, product storytelling, and social media. You'll help shape how people around the world understand and adopt one of the fastest-growing technologies in history. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week. In this role, you will Work closely with cross-functional teams to brief and create evergreen content related to OpenAI products like ChatGPT and Codex Craft and execute social strategy and content to encourage and sustain product adoption Partner with product, marketing, and creative teams to develop educational social content that helps people understand and adopt OpenAI products. Monitor and report on product usage trends and conversations across social Balance the requests of many teams while ensuring content goes out accurately and on time Synthesize and communicate complex topics in clear language tailored for different audiences You might thrive in this role if you 7+ years of professional experience in social

We’re hiring a Customer Success Manager to turn new deployments into measurable outcomes for engineering teams using Coder. You guide customers from onboarding through renewal, clearing blockers, and aligning our platform to their goals. You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform Remove barriers to adoption so customers achieve their desired outcomes expediently Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions Oversee renewals and forecasting, ensuring timely, successful commitments Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve Monitor and report on customer health and usage Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC Hands-on experience with Salesforce and other industry-standard CS platforms History of building strong relationships across executive, business, and technical stakeholders Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams Habit of staying current on industry trends, CS best practices, and the competitive landscape Startup experience High EQ with strong verbal communication and technical writing skills Self‑motivated with a creative and analytical approach to

Req ID - FEQ427R59 Location: London The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and dem