We're seeking a detail-oriented Data Collector to join our team. As a Data Collector, you will be responsible for collecting ground truth data for product development, performing execution and reporting results accurately, and understanding procedures and guidelines for new tasks/releases.

Responsibilities

• Collect ground truth data for product development
• Perform execution and report results accurately
• Understand procedures and guidelines for new tasks/releases
• Perform repetitive exercises based on dynamic instructions without compromising on quality
• Use software tools for data capture and comply with organisational processes on a daily basis
• Be comfortable with capturing results, communicating and escalating failures, and providing individual status reports and adhering to productivity and quality baselines
• Raise all failures/doubts related to execution in the portal and close the same as per SLAs

About the Team

At AWS, we value diverse experiences and encourage candidates to apply even if they don't meet all the preferred qualifications and skills listed in the job description.

Why AWS?

Amazon Web Services is the world's most comprehensive and broadly adopted cloud platform, providing a robust suite of products and services to power businesses.

Inclusive Team Culture

At AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

Basic Qualifications

• Bachelor's degree
• Speak, write, and read fluently in English
• Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Associate's degree or above

Preferred Qualifications

• Knowledge of Microsoft Office products and applications
• Experience prioritising and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience completing complex tasks quickly with little to no guidance and reacting with appropriate urgency to situations that require a quick turnaround

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We’re looking for a Security Engineering Lead to own and drive Anthropic’s Corporate Security programme. This is a player-coach Tech Lead Manager (TLM) role: you’ll be both the most senior technical individual contributor on corporate security and the people leader for a lean, high-impact team of Security Engineers.

Corporate Security at Anthropic encompasses everything that protects our people, endpoints, networks, SaaS ecosystem, and corporate data—the full surface area outside of production infrastructure. The scope is broad and the team is deliberately small, which means you’ll need deep technical skills across multiple domains, strong judgment about where to invest, and a bias toward automation and engineering-driven solutions over manual process.

You’ll report into Security leadership and partner closely with IT, Infrastructure Security, Detection & Response, and GRC teams. This role is high-visibility and high-autonomy: you’ll be expected to define the roadmap, make architectural decisions, and represent Corporate Security across the company.

Responsibilities:

Technical Leadership & Hands-on Engineering

• Own the security architecture, tooling, and controls for Anthropic’s corporate environment end-to-end, including endpoint fleets (macOS, Windows, ChromeOS), campus and office networks, SaaS applications, mobile devices
• Design, build, and ship security automation, integrations, and internal tooling—including leveraging Claude and LLMs to accelerate security workflows
• Define and enforce security baselines, hardening standards, and configuration policies across all corporate platforms
• Define what it means to operate safely in an environment where AI agents act more like humans than actual humans
• Evaluate, select, deploy, and operate corporate security tools (EDR/XDR, MDM, ZTNA, CASB/SSPM, email security, DLP, browser security, etc.)
• Drive vulnerability management for corporate assets, including patch orchestration, risk-based prioritization, and exception management
• Lead security reviews of new SaaS adoptions, corporate infrastructure changes, and IT projects

People Leadership & Team Building

• Manage, mentor, and grow a purposefully lean team of Security Engineers; set clear expectations, run effective 1:1s, and create an environment where engineers do the best work of their careers
• Hire and build the team as scope expands—own the hiring bar and pipeline for Corporate Security Engineering roles
• Balance your own IC contributions with the team’s needs; know when to go deep on a problem yourself and when to delegate and coach
• Foster a culture of operational excellence, blameless incident review, and continuous improvement

Strategy & Cross-Functional Partnership

• Define and own the Corporate Security roadmap, aligning investments to Anthropic’s risk profile and growth trajectory
• Partner with IT Operations to ensure security is embedded in endpoint provisioning, network design, and SaaS lifecycle management
• Collaborate with Detection & Response on telemetry coverage, detection engineering, and incident handling for corporate-sourced events
• Partner with Infrastructure and Security Engineering teams to ensure security standards are consistent across all of Anthropic
• Communicate security posture, risks, and investment needs to Security leadership and cross-functional stakeholders clearly and persuasively

You may be a good fit if you:

• Have 8+ years of Security Engineering experience in a corporate/enterprise security domain (endpoint security, network security, SaaS security, identity, or a combination)
• Have 2+ years of experience managing or tech-leading a team of engineers, with a demonstrated track record of developing talent and shipping results through others
• Are a strong engineer who still writes code regularly—you can prototype a tool, write a detection, build an integration, or debug a complex configuration issue
• Have deep experience with macOS fleet security (this is our primary platform) and solid working knowledge of Windows and ChromeOS security
• Have hands-on experience deploying and operating EDR/XDR, MDM, ZTNA/zero trust, and identity security solutions at scale
• Understand modern SaaS security challenges: shadow IT, OAuth token sprawl, data exfiltration paths, SaaS-to-SaaS integrations, and SSPM/CASB tooling
• Can work independently with high autonomy, manage ambiguity, and make sound risk-based prioritization decisions in a fast-paced environment
• Have excellent communication skills and can translate complex security topics into clear recommendations for technical and non-technical audiences

Strong candidates may have:

• Securing corporate environments at high-growth AI, cloud, or developer-tools companies
• Maturing a Corporate Security function from early stage, including defining scope, selecting the initial toolset, and hiring the founding team
• Advanced macOS security (system extensions, endpoint security framework, MDM profile engineering, Declarative Device Management)
• Network security architecture for hybrid/multi-office environments, including SD-WAN, ZTNA, DNS security, and network segmentation
• Browser security and isolation technologies (e.g., Island, Talon/Palo Alto, Chrome Enterprise)
• Proficiency in Python, Go, or similar languages for building sec

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Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here.

Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.

For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.

Do not invent information that is not in the original ad.

Job Description

We're looking for a data-driven, strategic and execution-focused Growth Marketing/Performance Marketing Lead to manage Replit's PLG and self-serve paid acquisition channels. We're looking for someone who can inherit an existing program and immediately drive efficiency, optimization, and scale. Your job is to squeeze more signal from what's working, prune what isn't, and bring a relentless experimentation mindset to accelerating our self-serve growth engine.

You'll work directly with our Head of Growth Marketing and collaborate closely with Creative, Product and Data. This role is ideal for someone who thrives in a high-velocity environment, is deeply channel-native, and is obsessed with improving CAC, conversion rates, and LTV across every stage of the self-serve funnel.

Responsibilities

Own and optimize paid acquisition across PLG channels

Take full accountability for self-serve new user acquisition, free-to-paid conversion, and paid channel efficiency primarily focused on SEM/paid search, but able to lean into other channels such as paid social, display, programmatic, and affiliate

Manage multi-million dollar media budgets with a clear focus on CAC efficiency and return on ad spend

Take a full funnel performance approach from impression to activated paying user — including landing pages, onboarding flow touchpoints, and trial conversion

Drive continuous optimization and a rigorous testing culture

Identify performance gaps and inefficiencies across existing campaigns and channels; develop and execute a prioritized roadmap to address them

Design and run structured A/B and multivariate experiments across creative, copy, audiences, landing pages, and bidding strategies

Establish benchmarks, performance baselines, and a regular cadence of insights reporting to stakeholders

Scale what's working — and build what's missing

Lead channel expansion efforts: identify emerging acquisition opportunities in programmatic, connected TV, or new affiliate partnerships

Partner with Creative and Design teams to develop and iterate on high-performing ad assets optimized for each channel and audience

Develop audience segmentation strategies that target the right users — with channel-appropriate messaging

Build measurement infrastructure and attribution rigor

Partner with Data to ensure accurate measurement of paid channel contribution across the self-serve funnel

Develop incrementality testing frameworks to move beyond last-click and measure true paid lift

Track and report on full-funnel metrics

What You'll Bring

7+ years of performance marketing experience with expertise and hands-on expertise specifically in SEM/Paid Search. Experience with other channels such as paid social (Meta, TikTok, LinkedIn), display, programmatic, and affiliate channels are valuable

Proven track record inheriting and meaningfully improving an existing paid acquisition program — not just maintaining, but finding new efficiency and growth levers

Deep fluency in performance measurement: you understand attribution models, incrementality, MMM basics, and can design experiments that produce actionable signal

Strong analytical skills — you're comfortable pulling your own data, building dashboards, and translating numbers into decisions without waiting for a data team

Experience marketing consumer or prosumer SaaS products with a product-led or freemium growth model at a high growth tech company

Creative instincts backed by data — you know how to brief creative teams and evaluate assets against performance goals, not just aesthetics

Benefits

Competitive Salary & Equity

401(k) Program with a 4% match

Health, Dental, Vision and Life Insurance

Short Term and Long Term Disability

Paid Parental, Medical, Caregiver Leave

Commuter Benefits

Monthly Wellness Stipend

Autonomous Work Environment

In Office Set-Up Reimbursement

Flexible Time Off (FTO) + Holidays

Quarterly Team Gatherings

In Office Amenities

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, techn

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