Snap Inc.

Client Partner

• Build and manage partnerships with brands and agencies to expand their digital presence on Snap
• Ensure that clients receive the highest level of sales and operational customer service
• Partner with other teams on structuring and executing strategic initiatives
• Develop and implement best practices for client interaction, sales, and services
• Create persuasive sales presentations using market trends and case studies
• Educate clients on Snapchat products and best practices
• Analyze campaign performance statistics and recommend performance enhancements
• Communicate and evolve a client’s way of thinking to mirror success on Snap
• Ensure strong health of client relationships and identify gaps
• Present dynamically and instill confidence to challenge clients to ensure mutual business success

Performance Marketing

• Lead the vision, strategy, development and launch of our ad formats
• Identify and prioritize new ways to drive intentful interactions with ads on Snapchat
• Ideate net new advertising Snapchatter experiences which delight advertisers and Snapchatters
• Integrate quantitative and qualitative information into product requirements
• Define and analyze metrics that inform product strategy and prioritization
• Collaborate with designers, engineers, data scientists, and user researchers to understand patterns and trends and identify new opportunities for growth
• Work with Engineering, Design, Data Science, Product Marketing, etc. to build, test, and ship products

Product Manager, Ads Format

Engineering Manager

• Lead and mentor a team of ML Infrastructure engineers responsible for building and scaling the systems that power Snap's model training, inference, and data pipelines
• Set the strategy, build a roadmap, create measurable goals, and lead your team to deliver high-impact ML infrastructure initiatives
• Evaluate the technical tradeoffs of key decisions and serve as a strong technical mentor across the team
• Perform design and code reviews to continuously raise the technical excellence bar
• Collaborate with ML engineers, product teams, and cross-functional stakeholders to understand requirements, evaluate tradeoffs, and deliver solutions at scale
• Hire, grow, and retain high-performing engineers by creating growth opportunities, giving regular feedback, and managing performance
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production-ready quality

Manager, Software Engineering, ML Inference

• Drive exponential revenue growth by building and managing strategic partnerships across a key account
• Help clients define and expand their digital presence on Snapchat
• Identify, prioritize, and secure strategic business opportunities both short term and long term, including those that extend beyond media
• Operate as a business owner, adopting clients protocol and processes into a tailored Snap approach
• Educate clients on Snapchat products and best practices
• Navigate complex organizations and influence C-suite decision makers
• Define the overall approach for the business through the development of a strategic account plan
• Partner with internal executives across various functions to scale solutions
• Balance priorities for driving innovation, meeting a learning agenda, and driving both short and long term revenue for Snap

Lead Client Partner

Operations

• Lead the development, governance, and continuous improvement of EHS standards, programs, and strategic initiatives across Specs Operations globally, ensuring consistency while enabling site specific operational requirements.
• Establish annual EHS objectives, key results, and performance indicators for Abingdon, Chandler, and other assigned Specs locations.
• Present EHS performance, emerging risks, compliance status, and strategic initiatives to senior leadership and executive stakeholders, enabling informed business and operational decisions.
• Provide leadership and direction for EHS Specialists, including performance management, coaching, career development, and succession planning.
• Influence organizational decision making by integrating EHS considerations into operational, engineering, and business planning processes.
• Build a high performance safety culture focused on accountability, risk reduction, and continuous improvement.
• Own EHS management systems, ensuring alignment with ISO 14001, ISO 45001, HSG65 principles, and Snap corporate standards.
• Provide strategic oversight of compliance with applicable UK, U.S., and local environmental, health, and safety regulations.
• Establish governance processes for compliance, auditing, inspections, corrective actions, and management reviews.
• Lead enterprise-level risk assessments for manufacturing, cleanroom, and R&D operations.
• Ensure effective management of regulatory obligations, permits, compliance documentation, agency interactions, and external audits.
• Own EHS programs supporting manufacturing, engineering, R&D, cleanroom, facilities, and operational functions.
• Provide strategic oversight of hazardous materials, hazardous waste, chemical safety, machine safety, contractor safety, laser safety, industrial hygiene, and hazardous gas safety programs.
• Establish governance and performance standards for hazardous gas systems, including toxic and hazardous gas storage, distribution, monitoring, and emergency response programs.
• Partner with Engineering, Facilities, Manufacturing, Workplace Services, and Operations leaders to ensure EHS requirements are integrated into facility design, equipment procurement, commissioning, and operational changes.
• Provide EHS leadership for capital projects, facility expansions, equipment installations, new technologies, and operational scale-up initiatives through proactive risk management and design review.
• Develop EHS competency frameworks, training strategies, and leadership engagement programs for employees, contractors, and leaders.
• Lead safety committees, emergency response teams, and cross-functional governance forums to strengthen accountability and operational excellence.
• Promote the sharing of lessons learned, best practices, and standardized methodologies across locations.
• Establish EHS maturity assessments and continuous improvement roadmaps.
• Manage EHS budgets, resource planning, and annual objectives.
• Utilize data analytics, leading indicators, and risk trends to identify opportunities for operational improvement and risk reduction.
• Develop business cases and strategic recommendations for EHS investments, staffing, and growth initiatives.
• Lead investigations of serious incidents, significant near misses, and high potential events across assigned Specs locations.
• Ensure robust root cause analysis methodologies are applied and corrective actions are effectively implemented and sustained.
• Oversee emergency preparedness and EHS business continuity programs across assigned Specs locations, ensuring organizational readiness for operational disruptions, emergency events, and EHS business continuity risks.
• Provide strategic leadership during significant incidents and emergency events, coordinating with site leadership, Security, Workplace Services, and executive stakeholders to support response and recovery efforts.

Manager, Environmental Health & Safety – Specs Operations

Full-stack Engineer

• Build State of the art mobile and desktop web software applications and/or systems
• Follow high-quality design and implementation practices
• Implement features and user interfaces to optimize performance of user-facing products
• Contribute to Snap’s engineering culture by working on shared libraries and systems
• Log and analyze operational and engagement metrics
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Software Engineer, Full Stack – Level 5

• Build state of the art mobile and desktop web software applications and/or systems
• Follow high-quality design and implementation practices
• Implement features and user interfaces to optimize performance of user-facing products
• Contribute to Snap’s engineering culture by working on shared libraries and systems
• Log and analyze operational and engagement metrics
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Software Engineer, Full Stack

Machine Learning Engineer

• Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
• Develop high-performance embedding generation / batch inference systems to improve model performance
• Develop high-performance data storage/compute systems to improve the efficiency of our ML infrastructure
• Integrate state of the art ML data quality system to assure model performance
• Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
• Work closely with ML engineers to deploy cutting-edge models into production
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Staff Software Engineer, ML Infrastructure

• Content rights landscape, including music, for record labels, music publishers and Performing Rights Organizations
• Content ingestion practices (DDEX), digital supply chain operations, publishing clearance, and metadata management
• Compliance with reporting obligations, and other key provisions from complex licensing agreements
• Management of 3rd party service providers
• Content management system architecture and development
• Drive Automation & Operational Efficiency: Identify opportunities to streamline manual processes through automation and tooling. Partner with technical teams to implement solutions that improve accuracy and reduce turnaround times.
• Resolve Complex Partner Issues: Serve as a key escalation point for complex partner challenges, including revenue discrepancies, reporting issues, and product-related concerns. Investigate root causes and drive timely, effective resolutions.
• Collaborate Cross-Functionally: Partner across Partnerships, Product, Engineering, Finance, and Legal, to ensure alignment and operational readiness for new initiatives, product launches, and policy changes.

Manager, Partnership Operations

Data Scientist

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
• Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
• Collaborate with product managers, engineers, product marketers, and designers
• Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions
• Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
• Communicate best practices in quantitative analysis and develop cross-functional partnerships
• Utilize AI tools and high-velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision-making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence.

Senior Data Scientist

Backend Engineer

• Design, implement, and operate our most critical and scalable services - ranging from user identity services, friend graph, and our core persistence layer
• Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Software Engineer, Backend

• Implement the engine and rendering features used across Lenses, Games, Spectacles.
• Collaborate with rendering and core engineers to incorporate new algorithms into the Lens engine
• Work on the 3D engine and advanced algorithms utilizing the cutting edge capabilities of modern mobile GPUs
• Research advanced rendering effects to adopt for mobile GPUs and perform as efficiently as possible
• Work on optimization of rendering algorithms for wearable AR devices to achieve best performance leveraging your deep knowledge of rendering techniques, GPU hardware and profilers.
• Make an impact on the future of AR rendering technology - the sky’s the limit

Software Engineer, AR – Level 4

Marketing

• Develop and execute messaging and creative strategy for sales enablement material based on business KPIs, industry trends and customer insights
• Own and develop customer centric content strategy that directly supports SMC’s global revenue programs
• Ideate on content initiatives in order to improve overall engagement and conversion rates for marketing creative
• Lead Revenue and Data Science teams to test and learn content and messaging for sales enablement material and to optimize marketing content for specific audience segments and customer journeys
• Stay ahead of industry trends in order innovate on content and provide customers with relevant education on advertising
• Lead content creation with design, web development and copywriting teams to create educational content for the small and medium business audience
• Provide ideas to continuously uplevel internal- and external-facing sales enablement content

Lead, SMC Marketing

Manager

• Support the Vision Science team by managing day-to-day lab operations.
• Moderate human-subject research studies.
• Build rapid prototypes to enable experimental design, validation, and prototyping.
• Manage daily lab operations, including equipment setup, maintenance, and troubleshooting.
• Prepare labs for experimental sessions, ensuring protocols, hardware, and software are ready.
• Coordinate study logistics: scheduling participants, managing consent forms, and maintaining study documentation.
• Moderate in-lab vision science studies, following established research protocols.
• Ensure participant safety, comfort, and data integrity during studies.
• Maintain organized records of study sessions, datasets, and lab inventories.
• Provide hands-on support to vision scientists during experiment design, setup, and execution.
• Assist in piloting experiments and debugging experimental flows.
• Collaborate closely with researchers, engineers, and designers to translate research needs into practical implementations.
• Support data collection workflows and coordinate handoff of data to researchers for analysis.
• Contribute to continuous improvement of lab processes, tools, and documentation.
• Build rapid prototypes to support vision science experiments and demos, using tools such as Lens Studio, Unity, or similar real-time/AR platforms.
• Communicate technical constraints and possibilities clearly to non-technical stakeholders.
• Support internal demos, reviews, and knowledge sharing related to lab capabilities and prototypes.

Experience Prototyper, Lab Manager, Level 3

• Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
• Build and enhance feature generation and serving pipelines that power online inferencing and offline training data generation
• Develop high-performance inference systems to ensure fast and efficient AI model serving
• Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
• Develop high-performance inference systems to ensure fast and efficient AI model serving
• Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
• Work closely with ML engineers to deploy cutting-edge models into production
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code