Location: Dallas, United States
A rapidly expanding national commercial property services provider is seeking a high-performance
Account Manager
to spearhead their commercial pest control and property maintenance portfolio within the Greater Dallas area.
This position requires a refined blend of structured business-to-business (B2B) outside sales acquisition and high-yield strategic relationship management. Operating directly within the regional marketplace, you will serve as the consultative partner to Property Managers, Regional Supervisors, and Real Estate Ownership Groups to deploy high-value, contractual property compliance and maintenance strategies.
For an ambitious business development professional with an established commercial footprint, this role offers an exceptional uncapped earning trajectory within a robust regional corporate infrastructure.
Key Responsibilities
New Business Acquisition:
Execute proactive outbound prospecting, structured cold calling, and targeted local networking to secure long-term contractual agreements across the regional multifamily and commercial sectors.
Strategic Relationship Management:
Establish, cultivate, and scale deep relational alignments with key decision-makers, regional operational supervisors, and corporate real estate asset managers.
Pipeline Architecture:
Own and manage the end-to-end commercial sales cycle seamlessly, executing high-yield processes from initial warm/cold outbound engagement through to executive contract sign-off.
Value-Based Advisory:
Construct and deliver technically sound, ROI-driven service proposals that explicitly communicate financial yield, service superiority, and risk mitigation benefits.
Portfolio Expansion & Retention:
Partner continuously with current client networks to guarantee baseline contract renewals, defend existing portfolios against market attrition, and systematically cross-sell expanded facilities solutions.
Local Ecosystem Integration:
Represent the brand as a highly visible industry professional at the Apartment Association of Greater Dallas (AAGD) and affiliated commercial real estate networking functions.
Data Infrastructure Maintenance:
Maintain flawless, real-time pipeline reporting, transactional progression logs, and corporate communications tracking within Salesforce CRM environments.
Position Requirements
Professional B2B Experience:
Minimum of two (2) years of verifiable corporate business-to-business outside sales experience. Prior technical tenure within structural pest control, commercial facilities maintenance, or B2B property services is mandatory.
Quota Achievement:
A documentable professional history of consistently achieving or outperforming defined financial quotas, net revenue expansions, and gross profit benchmarks.
Core Sales Methodologies:
Advanced proficiency in strategic outbound hunt mechanics, enterprise-level gatekeeper navigation, multiline pipeline orchestration, and closing multi-site corporate agreements.
Executive Communications:
Exceptional command of verbal and written communication, with the professional presence required to deliver boardroom presentations to executive real estate leadership.
Modern Technical Proficiency:
Expertise navigating complex CRM ecosystems (Salesforce preferred), field data tablets, and standard professional software suites.
Territorial Mobility:
Possession of a valid driver's license with a clean driving record and the daily capacity for territorial travel across the Greater Dallas geographic footprint.
Preferred Qualifications
Industry Infrastructure:
Direct sales exposure interacting directly with multifamily housing operations, commercial asset portfolios, or regional real estate networks.
Regional Professional Network:
Existing corporate relationships with Dallas-area property management companies or active professional tenure within the Apartment Association of Greater Dallas (AAGD).
Recurring Revenue Knowledge:
Prior experience structuring and securing service-based contracts built around recurring contractual pipelines.
Compensation, Benefits & Corporate Structure
Base Remuneration:
$55,000 predictable annual base salary.
Performance Incentive:
Highly competitive, uncapped, performance-engineered commission structure designed to maximize earnings for high-performing acquisitions professionals.
Health Infrastructure:
Comprehensive corporate healthcare options including medical, dental, vision, and company-sponsored life insurance programs.
Retirement Planning:
Structured 401(k) company matching framework with a standard 90-day onboarding full vestment schedule.
Paid Leave Framework:
Flexible Paid Time Off (PTO) allocation complemented by structured parental and extended medical leave provisions.
Corporate Tools & Account Coverage:
Complete expense allocation providing full reimbursement for territory mileage, client entertainment, asset tools, and professional association association fees.
Continuous Professional Track:
Collaborative, feedback-rich environment featuring clear pathways for continuous professional upward mobility.
Benefits:
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Life insurance
Paid time off
Parental leave
Vision insurance
Experience:
Sales: 2 years (Required)
Pest control: 1 year (Required)
Location:
Dallas, TX 75244 (Required)
Salary: $55,000+ / year
Location: Austin, United States
Location:
Austin, TX 78701
Hire type:
Full-Time
Shift:
No Shift Specified
Pay Range:
$50k - $55k /yr
Account Manager – Commercial Property Pest Control
B2B Sales | Multifamily Portfolio | Greater Austin Area
**Position Summary: **Our client, a rapidly expanding commercial property services provider, is seeking a dynamic Account Manager to spearhead their multifamily and pest control division in
Austin, TX
.
This role perfectly balances a hunter mindset with high-impact relationship management. In this position, you will partner directly with Property Managers, Regional Supervisors, and ownership groups across the
Greater Austin area
to deliver high-value, ROI-driven property management solutions.
If you are a competitive sales professional who thrives on closing new accounts, capturing market share, and cultivating long-term local alignment, this opportunity provides a lucrative uncapped earning platform in a booming regional economy.
Key Responsibilities
Drive New Business:
Prospect, cold-call, and network to secure premium B2B accounts within the
Greater Austin
multifamily sector.
Nurture Relationships:
Build deep, trusted partnerships with local property management decision-makers, regional supervisors, and real estate ownership groups.
Own the Sales Cycle:
Manage the full commercial sales pipeline seamlessly from cold outbound prospecting through structured contract execution.
Present Economic Value:
Deliver compelling, value-based proposals that explicitly showcase service superiority and bottom-line financial impact.
Expand Existing Accounts:
Proactively engage current client portfolios to maintain excellent retention metrics and cross-sell supplementary services.
Network Locally:
Represent the brand at
Austin Apartment Association (AAA)
events and maintain an active, highly visible presence within the local multifamily ecosystem.
Track Performance:
Maintain rigorous, real-time pipeline activity tracking, accurate forecasting, and key account information within Salesforce.
Position Requirements
B2B Sales Experience:
Minimum of two (2) years of proven business-to-business sales experience, specifically within the pest control industry.
Track Record:
Demonstrated history of consistently hitting or exceeding defined revenue quotas and gross profit targets.
Core Sales Skills:
Strong competency in cold calling, outbound prospecting, account navigation, and closing multi-site agreements.
Communication:
Excellent verbal and written communication skills with the absolute confidence to pitch to property-level staff and executive corporate suites.
Tech Savvy:
Proficient execution using CRM infrastructure, iPads, modern sales productivity apps, and standard tech suites.
Mobility:
Willingness and capacity to travel daily throughout the assigned
Greater Austin
geographic territory.
Preferred Qualifications
Industry Background:
Direct sales experience navigating the multifamily housing, property management, or commercial real estate space.
Local Network:
Existing relational network with
Austin-area
property management operations, ownership networks, or active professional tenure within the
AAA
.
Business Model:
Prior experience working with service-based offerings centered on contractual, recurring revenue pipelines.
Compensation, Benefits & Culture
Base Compensation: $50,000 -
$55,000
predictable annual base salary.
Commission Potential:
Highly competitive, uncapped commission structure engineered to reward top-tier performers.
Health Infrastructure:
Comprehensive medical, dental, vision, and foundational life insurance options.
Retirement Planning:
401(k) company matching program fully vesting after 90 days of employment.
Time Off:
Flexible Personal Time Off (PTO) package alongside structured maternity, paternity, and extended family leave models.
Tools & Expenses:
Complete corporate travel and expense coverage covering all territory mileage, client entertainment, and local association fees.
Professional Growth:
A highly collaborative, feedback-rich environment featuring continuous leadership development and career trajectory opportunities.
You should be proficient in:
Territory Sales
Business-to-Business (B2B)
Salary: $50,000 – $55,000 / year
Location: Remote
Workplace: Remote
About Prefect
Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents.
In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world.
We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration.
ROLE SUMMARY:
Product work at Prefect currently lives inside our engineering organization and engineers carry real product ownership. As we grow, co-ordination across products becomes more important and we are looking for a Director of Product to manage product responsibilities across our portfolio.
You will be our most senior dedicated product person, responsible for making our three products work as one coherent portfolio. You'll build our discovery and validation practices and coach our engineers on the product side of their work. You won't inherit a product org and instead will arrive as a team of one inside an engineering-led company.
This role will report to our Head of Engineering, Jenny.
WHAT YOU'LL DO:
- Drive product decisions for shared surfaces across our products such as where certain enterprise features live and what consolidated auth and billing will look like. You will work with product leads (typically Engineering Directors) to align each product's roadmap to the company vision.
- Build our product discovery practice - user conversations, customer signal, and problem validation. You don't run every conversation yourself but you set the standard for how discovery gets done, facilitate it across surfaces, and coach engineers to run their own user conversations well. You'll be a key partner to engineers in framing problems and help ground what we choose to build in customer evidence.
- Coach the product side of our product engineers - our model asks engineers to carry real product judgment, and you raise that bar across the org helping engineers to frame problems, weigh evidence, talk to users, and decide what not to build.
- Design and own the system for measuring the success of what we ship. This includes defining what "it worked" means and the practice of validating after launch. You make sure that post launch validation happens and happens honestly. And that what we learn feeds back into what we build next.
YOUR QUALIFICATIONS:
- 10+ years in product, with real product management experience at the leadership level — you've owned multi-team roadmaps, driven tough prioritization decisions and shipped through others without direct authority over them.
- You've operated in start-ups and engineering-led orgs. You know how to carry product weight through influence, without a PM org or a reporting line over the people building.
- You synthesize across domains. Multi-product portfolios, platform/product tension, or post-acquisition integration experience is a strong signal.
- Deep familiarity with the modern data stack, orchestration, or developer tools. Bonus for hands-on experience with agentic systems or MCP.
- You've made other people better at product.
WHAT YOU'LL GET IN RETURN
Base Salary Ranges:
- San Francisco Bay Area & NYC Metro: $221,000–$276,000
- Washington D.C., Boston, LA Metro, Seattle: $200,000–$257,000
- Denver, Chicago, Atlanta, & all other U.S. metros: $191,000–$238,000
Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process.
Perks and Benefits:
- Remote-first team with flexible-first culture
- Equity Stock Options
- 401(k) with 5% company match (vests immediately!)
- Unlimited PTO
- Medical, Dental and Vision insurance
- Generous Parental Leave
- Life Insurance and Disability benefits
- $800/month remote work stipend
And that's just the start — for more info check out our benefits and perks on our careers page.
BELONGINGNESS AT PREFECT:
Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community.
Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form.
EQUAL OPPORTUNITY AT PREFECT:
Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws.
Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures.
We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained.
This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job.
Key responsibilities
Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval
Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online
Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation
Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation
Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality
Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture
Minimum qualifications
Proficiency in Python and SQL
Experience training machine learning models and deploying them to production
Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow)
Working understanding of point-in-time correctness and training / serving skew, and how to prevent both
Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders
Preferred qualifications
Experience building or operating a feature platform such as Chronon, Feast, or Tecton
Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams
Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking
Experience with tree-based models on tabular data
Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse
Experience in integrity, spam, fraud, or abuse detection
Experience working with scarce, delayed, or noisy labels
Experience with AutoML or other approaches to automating the ML workflow
Care about the societal impacts of AI and want your work to make powerful systems safer
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Director of Product Marketing to lead go-to-market strategy and execution across Garner's product portfolio and priority customer segments. Reporting to the VP of Product Marketing, you will own the strategy, messaging, and launch execution for a book of product lines while helping set the operating model and standards for the broader product marketing function.
You will drive the narrative around Garner's differentiated approach to healthcare economics - translating complex data and clinical insights into compelling value propositions that resonate with benefits leaders and health systems. You will serve as a senior strategic partner to Sales, Product, and executive leadership, mentor other product marketers, and have direct, measurable impact on revenue generation and market positioning.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own end-to-end go-to-market strategy across a portfolio of product lines - including market segmentation, value prop development, competitive positioning, and messaging architecture. You’ll translate complex healthcare economics and data insights into narratives that drive customer acquisition and expansion
Lead major product launches and feature releases, owning a repeatable launch process and working cross-functionally with Product, Sales, and Customer Success to ensure market readiness, sales enablement, and customer adoption
Set the standard for data-driven marketing plans with clear KPIs (pipeline generation, win rates, deal velocity, positioning lift) and run regular business reviews to measure impact and drive iteration
Partner with RevOps and Sales leadership to analyze revenue processes, develop segment-specific go-to-market approaches and competitive playbooks, and equip external-facing teams with tools that directly improve close rates and deal velocity
Mentor and develop product marketers, raising the bar on craft, and help shape the structure, priorities, and operating rhythm of a growing product marketing team
Build and maintain a deep understanding of the healthcare benefits and provider landscape - including buyer personas, economic drivers, regulatory landscape, and key decision-making criteria
Collaborate with Product leadership to inform product strategy, roadmap prioritization, and feature differentiation based on market insights, customer needs, and competitive gaps
Own thought leadership and content strategy, working with internal and external resources to establish Garner as the authoritative voice on healthcare economics and benefits optimization
The ideal candidate has:
8+ years in B2B product marketing, including 3+ years leading product marketing strategy at scale
A track record of launching products and leading strategic repositioning initiatives at companies with high-caliber customers (Fortune 500, sophisticated tech buyers, etc.)
Exceptional analytical skills — you are comfortable building and interpreting financial models, conducting cohort analysis, and using data to drive marketing decisions and validate assumptions
Deep comfort with ambiguity and a bias toward action; you thrive in fast-growing environments where you must move quickly while maintaining intellectual rigor
Excellent communication skills with the ability to translate complex technical and business concepts into clear, compelling narratives for diverse audiences (executives, clinicians, benefit managers)
A demonstrated ability to lead and partner across functions — you influence without authority, synthesize diverse perspectives, and build credibility with Sales, Product, and Executive teams
Intellectual curiosity and genuine interest in healthcare economics, benefits design, and/or data-driven decision making; you ask the right questions and never accept surface-level explanations
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative leadership role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $250,000 - $280,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
We’re evolving our marketplace by building Affirm's first fully-featured ads platform to make a best in class shopping destination for our merchants and customers. We know that by pairing consumer insights, segmentation and personalization with our vast network of merchants, we can achieve that goal. The Marketplace Performance team owns the foundation of several key monetization artifacts that drive GMV for the company. We work cross-functionally to achieve these goals by closely partnering with our Revenue, TAM, CSM and Merchant partners. This team plays a large role in making Affirm marketplace the destination consumers trust and turn to for discovery, comprehension and shopping.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience developing consumer experiences using UI frameworks like React
· You have 2+ years of experience working in Ad Tech or related platforms.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Pay Grade - P
Equity Grade - 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000
USA base pay range (all other U.S. states) per year: $204,000 - $264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.
Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.
Key responsibilities
Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Are curious about LLM serving; prior inference or ML experience is not required
Thrive in cross-functional collaboration with both internal teams and external partners
Have experience working with external partners to align goals and deliver impact
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
Solid understanding of multi-region deployments, geographic routing, and global traffic management
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.
This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.
Key responsibilities
Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have a strong interest in LLM serving; prior inference or ML experience is not required
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Thrive in cross-functional collaboration with both internal teams and external partners
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
LLM inference optimization, batching, and caching strategies
Capacity-constrained scheduling or shared-resource test infrastructure
Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to reliably serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers
Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Significant software engineering experience, particularly with distributed systems
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience with load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
Proficiency in Python or Rust
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm’s Identity team is mission-critical to the customer checkout experience. When a customer chooses Affirm, one of the first steps is an identity check, and our ability to make the right decision directly impacts conversion, revenue, fraud exposure, and regulatory compliance. Our team owns Identity for all markets outside North America, playing a key role in Affirm’s international expansion. We are responsible for KYC, user lifecycle management, and identity decisioning across multiple regulatory environments. This work is about shaping how Affirm adapts its core Identity platform to new market dynamics, customer expectations, and compliance requirements.
What you'll do
You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What we look for
You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- P
Equity Grade
- 7
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
CAD $181,000 - $241,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm’s Identity team is mission-critical to the customer checkout experience. When a customer chooses Affirm, one of the first steps is an identity check, and our ability to make the right decision directly impacts conversion, revenue, fraud exposure, and regulatory compliance. Our team owns Identity for all markets outside North America, playing a key role in Affirm’s international expansion. We are responsible for KYC, user lifecycle management, and identity decisioning across multiple regulatory environments. This work is about shaping how Affirm adapts its core Identity platform to new market dynamics, customer expectations, and compliance requirements.
What you'll do
You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What we look for
You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- P
Equity Grade
- 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA Pacific base pay range (CA, WA, NY, NJ, CT):
$230,000 - $290,000
USA Sapphire base pay range (all other U.S. states):
$204,00 - $264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Los Angeles, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Software Engineers, we work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.
As part of the Riot Infrastructure Team, you’ll join a core group of engineers responsible for building and evolving the infrastructure that enables Riot’s games to operate globally at scale. As a
Staff Software Engineer
on the Infrastructure team, you’ll focus on reducing toil and inefficiency for Riot engineers through tooling and automation, particularly as we explore new opportunities enabled by AI. The solutions you build could range from Slack bots, AI agents, and MCP servers to systems that automate game deployments and other critical workflows. You’ll collaborate with teams across Infrastructure and throughout Riot to identify high-impact problem areas, shape technical solutions, and build tools and automation that make a meaningful difference in how engineers get their work done.
Responsibilities:
Design solutions and features based on requirements and agreements with our stakeholders using our standard frameworks and best practices
Drive improvements to our standards and best practices where necessary
Continually looking for efficiency and improvement opportunities within our infrastructure, propose solutions and rally support for your proposal.
Work with senior leadership across organizations to ensure successful implementation
Lead by example on quality design and coding standards
Help grow the team through mentoring and leveling up of less experienced teammates
Build healthy relationships with other engineering teams at Riot to foster cross-team collaboration.
Required Qualifications:
7+ years experience as a software engineer with focus on infrastructure or tooling in a fast-paced, large-scale environment
Expertise with full software development life cycle
Expertise in one or more object oriented languages (i.e. Python, Go, Java, C++)
Strong experience working with containers and Kubernetes
Experience with large-scale development/deployment on Cloud (i.e. AWS/GCP)
Experience with large-scale Deployment technologies (i.e. Cloudbees Jenkins, GitHub Actions)
Experience with AI tools such as Codex, Windsurf, Co-Pilot
Understand core infrastructure services, distributed systems, microservices, and software at a large scale
Desired Qualifications:
Experience in fast pasted and matrixed organizations
Experience operating and supporting agile development, production services, and high availability
Understand networking - HTTP down to the network layer (TCP/IP, routing, etc.)
Experience working with international team members and colleagues
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Andorra la Vella, Andorra; Buenos Aires, Argentina; Brasilia, Brazil; Rio de Janeiro, Brazil; Barcelona, Spain; Madrid, Spain; Milano, Italy; Rome, Italy; Abu Dhabi, United Arab Emirates; London, United Kingdom; Lugano, Switzerland; Warsaw, Poland; Amsterdam, Netherlands; Lisbon, Portugal; Dublin, Ireland; Bucharest, Romania; Bangalore, India; Kuala Lumpur, Malaysia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.
Responsibilities
Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.
Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.
Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.
Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.
Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.
A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.
Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.
Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.
Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.
Deep understanding of the math and structure behind Diffusion Models and Vision Transformers
Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Los Angeles, USA
Riot Engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As a Senior Software Engineer, you’ll also dive into projects that focus on team cohesiveness and cross-team objectives. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering.
As a
Senior Software Engineer
on the Riot Client team, you will deliver high-quality technical solutions that improve the player experience across Riot’s out-of-game ecosystem. Riot Client is the fast-evolving desktop software gateway for millions of players to play, discover, and install Riot games, and every single desktop player goes through the Riot Client on their way to experience one of Riot’s games, ensuring their needs, whether they be providing more ways to discover games, engage with Riot’s culture & community, or getting into their game as fast as possible, is the primary goal of the Riot Client team. You’ll contribute hands-on across the software development lifecycle, partnering closely with engineers, product managers, designers, and other cross-functional teammates to build reliable, scalable, and maintainable client capabilities. You will help shape technical direction within your area of ownership, make sound implementation and design decisions, and collaborate with peers across Riot to support game distribution, content, social features, and developer productivity. Through strong engineering practices, thoughtful code reviews, and mentorship of other engineers, your work will help advance the next generation of Riot Client experiences for players and developers.
Responsibilities:
Develop and maintain desktop application features focusing on web tech, with the ability to integrate with and contribute C++ components
Deliver high-quality, scalable, and reliable engineering solutions within your area of ownership, through hands-on contribution and technical design
Contribute to technical planning and design discussions, helping evaluate tradeoffs between long-term sustainability and near-term delivery needs
Build and apply a strong understanding of the Riot Client’s dependency landscape, partnering with teams to align on technical solutions
Work closely with cross-functional partners, including product, production, QA, design, and data insight
Level up other engineers through mentorship and technical guidance
Required Qualifications:
6+ years of industry experience
Bachelor's degree in Computer Science or a related field, or comparable experience in software development
Expertise in web technologies (React.js, Node.js) with application level complexity
Experience in C++
Experience working with complex code bases
Experience of cross-functional collaboration with product, design, and QA
Desired Qualifications:
Experience of working with desktop applications
Experience of working with Electron
Experience with build pipelines
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Senior Enterprise Systems Developer -
Order-to-Cash & Record-to-Report (O2C/R2R)
Location:
Austin, TX
About the Role
At Cloudflare, we are on a mission to help build a better Internet. To achieve this, our internal operations must run seamlessly, securely, and efficiently. We are seeking a highly skilled, forward-thinking
Senior Enterprise Systems Developer
to join our Enterprise Systems team with a dedicated focus on our core financial operations: the Order-to-Cash (O2C), Revenue Management, and Record-to-Report (R2R) ecosystems.
In this role, you will be the primary technical owner for the applications that drive our billing, collections, revenue recognition, general ledger management, and financial consolidations. Your core tech stack will include
NetSuite, Zuora RevPro, and Oracle Fusion Cloud (Financials - O2C and R2R modules)
. Your primary customers will be the Revenue Accounting, Billing, Corporate Accounting, and broader Finance organizations, and you will partner closely with them to optimize how Cloudflare transacts, recognizes revenue, and reports financials at scale.
If you are a builder at heart who enjoys solving complex financial system workflows, automating the month-end close, leveraging AI for financial insights, and designing seamless enterprise integrations from Quote-to-Cash through to the General Ledger, this role is for you.
What You'll Do
Application Administration & Environment Management
Serve as the primary subject-matter expert and developer for Cloudflare’s O2C and R2R technology stack (NetSuite, Zuora RevPro, Oracle Fusion).
Manage user provisioning, complex role-based access control (RBAC), and security settings specific to billing approvals, journal entry (JE) limits, general ledger access, and revenue posting.
Manage application environments (e.g., Production vs. Sandbox/Release Preview), ensuring alignment across all environments from both a data and release perspective to support safe testing of financial changes.
Monitor ongoing application performance and reliability, managing incident workflows to ensure ticket SLAs for the Finance organization are consistently met, especially during critical month-end and quarter-end close periods.
Provide Tier 3 support and end-user enablement, serving as the ultimate technical escalation point for financial system issues.
System Development, Integrations & AI Initiatives
Act as the Subject-Matter Expert for integrations across the QTC, O2C, and R2R lifecycles. Ensure the seamless flow of data (e.g., syncing closed-won opportunities to NetSuite/Oracle, passing billing data to Zuora RevPro, and ensuring subledger transactions map flawlessly to the GL).
Design, build, and deploy custom system enhancements, automated billing schedules, journal entry automations, revenue allocation scripts (e.g., SuiteScript), and API integrations between our platforms.
Lead the evaluation, implementation, and governance of native AI features within the financial stack (e.g., AI-driven anomaly detection in journal entries and revenue schedules, automated cash application matching, or intelligent account reconciliations) to accelerate financial operations.
Proactively monitor vendors' quarterly updates and product roadmaps. Lead impact assessments, manage versioning/upgrades, and educate Finance stakeholders on new functionality and AI opportunities.
Process Management & Workflow Design
Partner directly with the Chief Accounting Officer's organization, Revenue Accounting, Corporate Accounting, and Billing teams to deeply understand their operational processes and translate business requirements into sophisticated system solutions.
Own the design, configuration, and delivery of complex workflows (e.g., dynamic invoice routing, automated dunning processes, intercompany eliminations, and month-end close orchestrations) to eliminate manual bottlenecks.
Build and maintain scalable system architectures that support complex, high-volume recurring billing, usage-based consumption models, and multi-entity global consolidations.
Security, Compliance, & Data Governance
Partner closely with Internal Audit, Risk, and Compliance teams to maintain robust IT General Controls (ITGC) and strict enterprise-wide data governance for financial and customer data.
Spearhead and execute
Quarterly Access Reviews (UAR)
for all O2C and R2R applications, ensuring accurate access levels and enforcing strict Segregation of Duties (SoD) across billing, revenue, and general ledger operations.
Ensure newly implemented AI features, custom scripts, and data-sharing protocols strictly adhere to SOX compliance, maintain data integrity, and ensure audit readiness for all financial records and ASC 606 reporting.
Maintain comprehensive system architecture documentation, process maps, and business continuity/disaster recovery plans for critical financial systems.
What We're Looking For
Minimum Experience:
Bachelor’s degree in MIS, Computer Science, Finance, Accounting, or a related field. 5+ years of hands-on experience in enterprise systems development and administration, with a strong focus on Financial ERPs.
Platform Expertise:
Deep, proven experience configuring, administrating, and developing in applications like
NetSuite, Zuora RevPro, and Oracle Fusion Cloud (specifically O2C and R2R/GL modules)
.
Integration & Development Skills:
Strong understanding of system integration logic (REST/SOAP APIs) and data flows across Quote-to-Cash, Order-to-Cash, and Record-to-Report ecosystems. Experience with scripting languages native to the platforms (e.g., NetSuite SuiteScript) is highly preferred.
AI & Innovation Acumen:
Familiarity with deploying, testing, or administering AI and machine learning features within SaaS platforms, specifically tailored to financial operations, journal anomaly detection, or cash application.
Audit & Compliance Acumen:
Extensive experience working in a strict SOX-compliant public company environment. Highly comfortable managing quarterly access reviews, defining SoD for accounting operations, and defending system controls to audit teams.
Process-Oriented:
A deep understanding of core Order-to-Cash (O2C), Revenue Recognition (ASC 606), and Record-to-Report (R2R) business processes, including global consolidations and the month-end close cycle.
Communication:
Excellent communication skills, with a proven ability to partner effectively with Finance/Accounting leadership and bridge the gap between technical architecture and financial outcomes.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Senior Enterprise Systems Developer -
Procurement Systems
Location: Austin, TX
About the Role
At Cloudflare, we are on a mission to help build a better Internet. To achieve this, our internal operations must run seamlessly, securely, and efficiently. We are seeking a highly skilled, forward-thinking
Senior Enterprise Systems Developer
to join our Enterprise Systems team with a dedicated focus on our Procurement and Spend Management ecosystem.
In this role, you will be the primary technical owner for our Procure-to-Pay (P2P) and Contract Lifecycle Management (CLM) applications. Your core tech stack will include
Zip (Intake/Orchestration), Ironclad, Oracle Fusion Cloud (Procurement), and managing the transition out of Coupa
. Your primary customer will be the Procurement Organization, and you will partner closely with them to optimize the way Cloudflare sources, contracts, and purchases at scale.
If you are a builder at heart who enjoys solving complex supply chain and procurement workflow challenges, leveraging AI and automation, and designing seamless enterprise integrations, this role is for you.
What You'll Do
Application Administration & Environment Management
Serve as the primary subject-matter expert and developer for Cloudflare’s Procurement technology stack (Zip, Ironclad, Oracle Procurement, Coupa).
Manage user provisioning, complex role-based access control (RBAC), and security settings specific to purchasing limits and contract approvals.
Manage application environments (e.g., Production vs. Sandbox/Demo), ensuring alignment across all environments from both a data and release perspective.
Monitor ongoing application performance and reliability, managing incident workflows to ensure ticket SLAs for the Procurement organization are consistently met.
Provide Tier 3 support and end-user enablement, serving as the ultimate technical escalation point for procurement system issues.
System Development, Integrations & AI Initiatives
Act as the Subject-Matter Expert for integrations across the procurement lifecycle. Ensure the seamless flow of data (e.g., syncing vendor intake data from Zip, passing contract metadata from Ironclad to Oracle Fusion, and managing purchase order syncs).
Design, build, and deploy custom system enhancements, automated workflows, template generation, and API integrations between our procurement platforms and core ERP.
Lead the evaluation, implementation, and governance of native AI features within the P2P stack (e.g., Ironclad AI for contract analysis and redlining, Zip AI for vendor onboarding/intake routing) to accelerate procurement cycles.
Proactively monitor vendors' quarterly updates and product roadmaps (especially for Zip and Ironclad). Lead impact assessments, manage versioning/upgrades, and educate Procurement stakeholders on new functionality and AI opportunities.
Process Management & Workflow Design
Partner directly with the Procurement organization, Legal, and Finance to deeply understand their operational processes and translate business requirements into sophisticated system solutions.
Own the design, configuration, and delivery of complex workflows (e.g., global Procure-to-Pay rules, dynamic intake routing, and automated contract approvals) to eliminate manual bottlenecks.
Support the strategic migration and sun-setting of legacy systems (e.g., Coupa), ensuring zero disruption to business continuity during the transition to our modernized stack.
Security, Compliance, & Data Governance
Partner closely with Internal Audit, Risk, and Compliance teams to maintain robust IT General Controls (ITGC) and strict enterprise-wide data governance for spend and vendor data.
Spearhead and execute
Quarterly Access Reviews (UAR)
for all Procurement and CLM applications, ensuring accurate access levels and enforcing strict Segregation of Duties (SoD) within the purchasing cycle.
Ensure newly implemented AI features and data-sharing protocols strictly adhere to SOX compliance, vendor risk policies, and maintain audit readiness for all financial and contract records.
Maintain comprehensive system architecture documentation, process maps, and business continuity/disaster recovery plans for critical procurement systems.
What We're Looking For
Experience:
Bachelor’s degree in MIS, Computer Science, Supply Chain, or a related field. 5-7+ years of hands-on experience in enterprise systems development and administration, with a strong focus on Procurement/P2P systems.
Platform Expertise:
Deep, proven experience configuring and developing in
Zip, Ironclad, Oracle Fusion Cloud (Procurement modules), and Coupa
.
Integration & Development Skills:
Strong understanding of system integration logic (REST/SOAP APIs) and data flows across intake, CLM, and ERP ecosystems. Experience with scripting and building complex conditional workflows.
AI & Innovation Acumen:
Familiarity with deploying, testing, or administering AI and machine learning features within SaaS platforms, specifically tailored to contract lifecycle and spend management.
Audit & Compliance Acumen:
Extensive experience working in a SOX-compliant environment. Highly comfortable managing quarterly access reviews, defining SoD for procurement operations, and defending system controls to audit teams.
Process-Oriented:
A deep understanding of core Procure-to-Pay (P2P), Source-to-Pay (S2P), and Contract Lifecycle Management (CLM) business processes.
Communication:
Excellent communication skills, with a proven ability to partner effectively with Procurement leadership and bridge the gap between technical architecture and business outcomes.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Portugal; Brazil
SUMMARY:
You will join a cross-functional squad responsible for building and maintaining high-scale, customer-facing services. The role involves contributing to new product features, evolving system architecture, improving code quality, and ensuring operational reliability in a modern, cloud-based environment.
The ideal engineer thrives in a collaborative, autonomous culture that values experimentation, continuous learning, and shared ownership. This position plays a key part in shaping technical decisions, supporting platform evolution, and delivering impactful solutions at scale.
WHAT WILL YOU BE DOING:
You will be joining our engineering team and will be a valued member working closely in a collaborative, autonomous, cross-functional team. You will help with the following:
Feature Delivery & Collaboration
Participation in the design and delivery of new product features in collaboration with product, design, and engineering teams.
Exploration of feasibility options and contribution to customer-focused engineering decisions.
Commitment to clear goals, delivery expectations, and shared team objectives.
Clear and responsible communication within the squad to support alignment and transparency.
Communicating your needs clearly and responsibly.
Architecture & Technical Decision-Making
Contribution to system architecture discussions and evolution of technical design within the squad.
Application of OOP, SOLID principles, and clean coding practices to build maintainable Ruby services.
Participation in establishing engineering patterns, standards, and long-term architectural improvements.
Support in building highly available, resilient, and scalable systems.
Code Quality & Testing
Development of high-quality Ruby code that is maintainable, readable, and structured for long-term sustainability.
Adoption of strong testing practices using RSpec or Minitest to ensure robust test coverage.
Improvement of existing systems to enhance reliability, modularity, and testability.
Contribution to a culture of automated testing and continuous quality improvements.
Operational Excellence
Support in building and maintaining services operating under significant scale and traffic.
Participation in monitoring, troubleshooting, and enhancing system resilience.
Contribution to observability practices, operational readiness, and continuous improvement of production systems.
Engagement in deployments and incident support as part of the team’s shared operational ownership.
WHAT WE ARE LOOKING FOR:
Core Technical Skills
Strong hands-on experience with Ruby for building production applications.
Ability to deliver maintainable, well-structured code aligned with OOP and SOLID principles.
Proficiency in automated testing using RSpec or Minitest.
Experience working with Git and collaborative development workflows.
Backend Engineering Fundamentals
Experience building scalable, API-driven backend services.
Understanding of concurrency, asynchronous processing, and distributed system interactions.
Experience with PostgreSQL, Redis, and MongoDB for data persistence and caching.
Ability to design and troubleshoot systems operating under heavy load and high availability requirements.
Operational & Performance Awareness
Familiarity with diagnosing performance bottlenecks and implementing optimisations.
Strong understanding of observability principles, including monitoring, logging, and system health analysis.
Experience supporting and iterating on production systems.
Communication & Collaboration
Strong English communication skills, both written and verbal.
Ability to contribute positively to team collaboration, solution discussions, and knowledge sharing.
AWESOME BUT NOT REQUIRED:
Experience with containers and orchestration (Docker, Kubernetes).
Familiarity with Rack, Sinatra, or Rails frameworks.
Exposure to EventMachine or event-driven architectures.
Experience with ELK, Datadog, or similar observability stacks.
Knowledge of AWS services such as ECR, EC2, S3, and RDS.
Exposure to CI/CD pipelines, cloud-native practices, or infrastructure tooling.
WHAT’S IN IT FOR YOU?
Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues, and help create our company culture
A culture in which we don’t criticise failure but ensure we learn from our mistakes
An Agile environment where your ideas are welcome
The possibility to grow and experience different projects
Fully remote
Ongoing Training & Mentoring
The possibility of travelling
- ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL-BASED ONLY
Location: United States
Workplace: Remote
About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s.
What you'll do:
- Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards.
- Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships.
- Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time.
- Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface.
- Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them.
- Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended.
- Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it.
- Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it.
What you'll bring:
- 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product.
- Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it.
- A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why.
- Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online.
- Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines).
- Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result.
- Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency.
- Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints.
Compensation:
The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Austin, United States
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