Location: Riga, Latvia
Workplace: hybrid
About Aleph
Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy.
What You Will Do
Learn and grow:
Become an expert in TikTok’s advertising tools and help clients understand how to use them.
Support clients:
Work closely with clients to understand their needs and help them reach their goals through TikTok campaigns.
Manage campaigns:
Assist in setting up, monitoring, and improving ad campaigns.
Use data:
Analyse campaign results to find what is working and suggest ways to improve.
Collaborate:
Work with other teams, including Sales, Analytics, and TikTok’s own team, to give clients the best possible experience.
What We Are Looking For
A Bachelor’s degree or equivalent practical experience.
Strong analytical skills, with confidence using data to identify trends and create actionable insights.
Intermediate Excel and PowerPoint skills (required).
Excellent communication and presentation skills in English.
A structured, analytical mindset, with strong time management and organisation skills.
Curiosity about digital advertising, and a passion for numbers, analytics, and problem-solving.
A deep interest in the digital advertising ecosystem in Northern Europe.
A passion for TikTok, a growth mindset, and genuine curiosity about the future of social media and digital marketing.
Nice to have: some experience in account management, marketing, a client-facing role, or the digital advertising industry.
Why Join Aleph
Impact:
Help businesses of all sizes reach new customers on TikTok, as part of a company connecting 26,000+ advertisers and agencies to the world’s biggest platforms.
Growth:
Start your digital advertising career by learning TikTok’s advertising tools in depth, with real client work from day one and room to grow into broader client solutions roles.
Team culture:
Join a dedicated TikTok team that works hand in hand with Sales, Analytics, and TikTok’s own team, in an environment where everyone is welcome, valued, and empowered to do their best work.
Market context:
Build expertise in the fast-moving Northern European digital advertising market from our Riga office, with a hybrid setup that mixes office collaboration with flexibility.
“Share our similarities, celebrate our differences.” – M. Scott Peck
#ALEPH
Position Description As an Engineering Manager at Sonar, you will lead a squad of 8 developers to build, automate and operate software used by millions of Sonar customers worldwide. What you will do Lead and manage a team of Engineers, providing guidance, support, and mentorship to help individuals grow in autonomy and contribute to the team's success.
seniorENGINEERING MANAGER | RELOCATION TO GENEVA | SONAR #relocation #itjob #fulltime #engineering #manager https://teletype.in/@remoteit/UWDKu21QD1k; RELOCATION TO GENEVA | SONAR Who is Sonar?
RESPONSIBILITIES: Own the platform roadmap and architecture, setting priorities and directing work across staff and engineering partners. Design and maintain dbt models, the semantic layer, and data quality tests that keep reported numbers trusted.
УдалённоseniorГеография найма не уточнена
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Location: Austin, TX
Workplace: remote
Maps Quality Tester
Welocalize is seeking a Maps Quality Tester with a background in GIS or previous maps experience. In this exciting role, you will be working at a leading consumer technology company as a contributor to the finished products released in target markets across the globe.
The ideal candidate is a brilliant problem solver, quick study, self-starter, and excellent communicator with a passion for shipping quality products. The ability to think on your feet and to deliver results in a fast-paced environment is a must. If you’re an avid cyclist who tracks your performance across different routes, that is considered relevant experience and a strong plus!
Our testers will work closely with the development team to ensure the client organization ships the highest quality application. The candidate should possess the ability to quickly grasp and distill highly complex matters into clean, understandable reports. The candidate must also be an effective diplomat with strong communication and organizational skills, who is willing to prove him or herself within a company of talented individuals.
Project Details
Location: Austin (Texas)
Work Type: Remote
Shift Timings: 10:00 AM - 7:00 PM (CST)
Type: Full Time (12 months Contract with possible extension)
Pay Rate: $23/hour
REQUIREMENTS:
Proficient in using iOS and MacOS (desirable)
Working knowledge of maps and web-based mapping products
Good written and spoken English
Experience working with data and spreadsheets
Familiarity with using mobile devices for driving navigation e.g. Apple Maps, Google Maps
Creative thinker and able to understand the product from the user's perspective
Organised and self-sufficient, able to work remotely without direct supervision
Ability to explain technical details in clear and concise reports
Bachelor’s degree or higher preferred (Geography, Cartography, or related field preferred)
Austin-based (but you'll be working from home in Austin)
Job reference: #L1-CC1
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
Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs.
We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day.
The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production.
What you'll do
You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse.
You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer.
You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team.
Representative projects
Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners
Take a new model ability from research prototype to public API feature, from interface design to production rollout
Build and operate tools such as web search and code execution under real traffic
Automate the manual parts of a model launch
Build the evals that catch a capability regression before a launch
You might be a good fit if you:
Have led technical projects that spanned several teams, from design through launch and operation
Have designed and operated production distributed systems where correctness, latency, and availability all matter
Have strong product sense and care about API design and developer experience
Make sound technical decisions with incomplete information, as models and priorities change close to a launch
Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers
Make the engineers around you better through design review and mentoring
Use AI tools as a regular part of how you design, build, and review software
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Strong candidates may also have:
Building public APIs, SDKs, or developer platforms
Working with large language models, including tool use, agents, or evals
Running launches or migrations with fixed deadlines and many dependent teams
Building tools for agents, such as search or code execution
Storage, memory, or context systems at scale
Integrating with cloud platforms such as AWS, Google Cloud, and Azure
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$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: Delhi, India; Mumbai, India
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
We are looking for Business Head/Client Partner Manager to join our team in Mumbai, India. In this role, you will be responsible for developing strategies that grow the market. You will lead the regional team to cultivate relationships with businesses, develop and unlock opportunities for advertisers to grow, bring industry insights and plan growth and acquisition activities.
As a Business Head/Client Partner Manager, you are expected to provide deep product insight and ongoing consultative support to the sales team and their clients.
What You'll Do :-
Develop strategies, tactics, sales plans, and profit targets for the region
Maintain a relationship with our media partner and build together a strategy to grow the business.
Manage the day-to-day administration and long-term financial health of the business unit
Lead both internal and external QBR process
Manage sales routines on a weekly basis
Work closely with cross-functional project teams to maintain continuous product knowledge
Resolve client issues in an efficient, tactful manner, and support the implementation of solutions that prevent future problems
Create an innovative strategy to evangelize and grow the market through the sales team
Develop an excellent relationship with the entities and associations in the region
Identify and report on business opportunities and strategic alliances in target markets
Collaborate with internal and cross-functional teams (marketing, communications, finance, legal, sales, etc.) to drive strategic growth in revenue and operations
Track, analyze, and optimize the performance of the app, product adoption, audience growth, being able to define localized strategy and establish a sustainable ecosystem that fits the local needs of clients, companies, and partners
Bring industry insights and plan growth and acquisition activities
What You'll Need For This Role :-
Minimum of 10+ years experience in the online ad sales
Bachelor’s degree. A Masters Degree will be a plus
In-depth knowledge of the digital and mobile advertising environment
Understanding the decision-making process of an advertiser, partnering with them, and bringing customized solutions to drive the best results to target companies
What Will Make Us Love You :-
You have the ability to manage multiple projects and work effectively with people and different departments in a fast-paced, dynamic environment
You possess strong leadership skills conducting important salesforce teams, finance area, and support areas
You have excellent sales and negotiation skills, exceptional presentation and communication skills
You are able to work on multiple projects and have excellent project management and time management skills
You are driven, optimistic and love to take new initiatives
What You'll Love About Us :-
We care about your individuality by giving you freedom to grow and create within the company, regardless of your position
Work in a dynamic team in a fast-paced industry of an international company with multi-cultural teams around the world
Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising
Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: Limassol, LIMASSOL, Cyprus
Spotware Systems is seeking a highly skilled
Senior DevOps Engineer
with extensive experience in supporting
Java-based product environments
. This role is ideal for someone who blends deep infrastructure knowledge with automation expertise, has a solid understanding of modern DevOps practices, and thrives in complex, distributed systems. You will be instrumental in ensuring scalability, reliability, and security across our production environments.
Responsibilities
Design, build, and maintain
CI/CD pipelines
using GitLab CI and Jenkins.
Automate infrastructure and application deployments with
Ansible
.
Manage Kubernetes clusters, including CNIs, networking, and troubleshooting.
Deploy and manage services using
Helm
and
helm-file
.
Implement and maintain
monitoring and observability stacks
(Prometheus, Grafana, Loki, VictoriaMetrics, ELK).
Set up distributed tracing with
OpenTelemetry
.
Profile applications and systems using tools like perf, pprof, and Java heap dump analyzers.
Ensure security best practices across CI/CD, secrets management (Vault, Sealed Secrets), and static code analysis (SonarQube).
Optimize containerization workflows, focusing on image layering, distroless builds, and runtime management (containerd, CRI-O).
Manage networking in Kubernetes: Services, Ingress, NetworkPolicies, DNS, and external load balancer integrations.
Troubleshoot complex networking issues using tcpdump, traceroute, Netstat, and other diagnostic tools.
Contribute to
infrastructure as code
(Terraform, where applicable).
Develop and maintain scripts and tools in
Go, Python, Bash, and Groovy
.
Support and optimize
Java-based microservices
in production.
Requirements
3+ years of experience in
DevOps or SRE
roles.
Proven expertise with
Helm
,
helm-file
, and
Ansible
in production.
Strong background supporting
Java-based microservices
.
Hands-on experience with
GitLab CI
and
Jenkins
pipelines.
Deep knowledge of
Kubernetes
(core components, CNIs, networking).
Strong understanding of
Linux systems
in production.
Experience with monitoring and observability:
Prometheus, Grafana, Loki, VictoriaMetrics, VictoriaLogs
.
Familiarity with
distributed tracing
using OpenTelemetry.
Experience with
secrets management
(Vault, Sealed Secrets).
Strong troubleshooting skills with
networking (TCP/UDP, DNS, load balancing, ingress controllers)
.
Competency in
Go, Python, and Bash
scripting.
Understanding of
microservices architecture
,
event-driven architecture
and the
CAP theorem
.
Proven ability to support
incident response
and on-call rotations.
Nice to Have
Experience with
Infrastructure as Code (Terraform)
.
Familiarity with
Service Meshes
(Istio, Linkerd).
Knowledge of
advanced networking
(eBPF, Calico, Cilium, IPVS).
Experience with profiling tools and JVM troubleshooting (Eclipse MAT, jmap).
Exposure to
CI/CD security best practices
and
static analysis tools
like SonarQube.
Working Conditions
Competitive salary.
Private medical insurance.
Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup.
Support with settling into life in Cyprus, including accommodation, banking, healthcare, and everyday guidance.
Comfortable office environment with fresh fruit every day, treats or pizza on Wednesdays, and snack day on Fridays.
Fair remuneration based on your experience, skills, and level of responsibility.
Welcome Baby Bonus and Baby Box.
Birthday voucher.
Partial compensation for sports activities and wellness initiatives.
Greek language classes.
Location: New York, NY (HQ); Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
Ramp's Advisory & Services channel is one of the most strategically important growth levers in the business. As an Advisory& Services Partner Development Representative (PDR), you'll be the engine behind acquiring, reactivating, and qualifying the consulting firms, System Integrators (SIs), and advisory practices that refer, implement, or integrate Ramp for their clients.
You'll be holding conversations with partnership heads, business development leads,Managing Directors, and practice leads at consulting firms, ERP implementation shops, and strategic advisory practices - building relationships that turn into signed referral agreements and a pipeline of activated partners that are Ramp champions.
This role is perfect for someone who:
- Is gritty and relentless - comfortable reaching out to firm leaders who are slow to respond and keeps going anyway
- Carries real executive presence and can credibly hold a conversation with a Partner or MD at a top-tier firm
- Has a strong client hand - naturally curious about how consulting and advisory firms serve their clients, and speaks their language
- Thrives when the playbook is still being written and takes ownership of building it
- Embraces AI to augment and automate processes to drive greater efficiencies for workflows
What You'll Do
- Source and qualify net new consulting, advisory, and technology partners that can drive referral pipeline and commercial value to Ramp, focused on firms with active CFO-level client relationships
- Build top-of-funnel pipeline for Channel Partner Managers by qualifying partner candidates against Ramp's tiering criteria and handing off warm, ready-to-activate relationships
- Reactivate dormant services partners across Ramp's existing book of ~400 consulting, technology, and advisory firms - identifying which relationships have gone cold and reigniting them through strategic, senior-level outreach
- Identify and engage system integrators (SIs) and ERP implementation specialists - specifically firms in the NetSuite, Sage Intacct, Dynamics, and Odoo ecosystems - to build Ramp's productized SI implementation program
- Craft outbound messaging and campaigns tailored to services partner archetypes - boutique firms, PE-focused advisory practices, tech consulting firms, and ERP implementation shops
- Maintain accurate partner and opportunity data in Salesforce; track pipeline health across both dormant reactivation and net new acquisition motions
- Leverage AI tools and lightweight automations to scale partner outreach, surface reactivation opportunities, and build repeatable workflows across a high-volume partner book
What You Need
- Grit and drive to run a high-volume, high-quality outbound motion against senior contacts who are hard to reach - and the persistence to keep going
- Executive presence: you can hold a credible conversation with a Partner or Managing Director at a consulting or advisory firm, and they take you seriously
- Deep understanding of how consulting firms go to market, how they serve CXO-level clients, and drive influence
- A client-oriented mindset - you lead with what's in it for the partner's business, not just Ramp's
- Strong written communication skills - outreach that is pithy, credible, and gets responses from senior people at busy firms
- Comfort managing a large, segmented partner book and staying disciplined across long reactivation and qualification cycles
- 1-3 years of experience in partnerships, channel sales, business development, or sales development or as a business analyst in a strategy consulting firm (e.g., McKinsey, Bain, BCG)
- Bachelor's degree from a four-year university
Nice to Haves
- Background at - or selling to - consulting firms, strategy practices, Systems Integrators (SIs) or advisory businesses
- Exposure to ERP ecosystems: NetSuite, Sage Intacct, Microsoft Dynamics, Odoo, or similar implementation partner communities
- Familiarity with how system integrators operate: how they price services, staff implementations, and build revenue relationships with technology vendors
- Experience working in a partner channel that was still being built - first rep in a motion or early team member in a new GTM track
- Background in B2B fintech, SaaS, or financial services
- Familiarity with Salesforce or similar CRM tools
- Hands-on experience using AI tools (specifically Claude Code), building basic automations (bots, workflows, etc.) to drive efficiency in a sales, partnerships, or business development context
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue.
We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing.
- Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline.
- Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks.
- Build the internal tools and automation Growth and GTM teams run on
- Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing
QUALIFICATIONS
- 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python).
- Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style).
- Experience instrumenting product events and running A/B experiments end to end.
- Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it.
- Comfort with REST APIs, webhooks and integrating third-party GTM tools.
- Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests.
NICE TO HAVE
- Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows.
- Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company.
- Entity resolution, dedup or domain enrichment.
- Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin).
- Experience building LLM-powered internal tools or agents.
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 Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area.
As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input.
This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no.
Key responsibilities
Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change
Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision
Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes
Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify
Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities
Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams
Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real
Work with Partner Enablement so that partner learning paths and certifications support each specialization
Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working
Design the review process to scale, using Claude and automation so that routine steps don't depend on a person
Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams
Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership
Minimum qualifications
Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle
Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders
Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job
Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing
Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams
Work effectively where the process is still being built and the details are still changing
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience designing or running a partner competency, specialization, or credential program at a technology company
Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people
SQL or BI-tool skills sufficient to pull and check your own program data
Experience taking a program from its first launch to a repeatable operating cycle
Experience launching a program publicly with marketing and communications partners
Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up
Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector
Experience designing partner benefits or incentives, and an understanding of how they change partner behavior
Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery
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:
$300,000
—
$365,000 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: Chicago
Workplace: Remote
Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver.
Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.
What you’ll do here
- Build and close a strong pipeline of enterprise accounts with large engineering organizations
- Generate qualified opportunities through outbound prospecting and inbound leads
- Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction
- Collaborate with Sales Engineers to deliver a thorough technical evaluation
- Partner with decision-makers and technical stakeholders throughout the sales cycle
- Travel as needed to support deals and customer relationships
What we’re looking for
- 5+ years of enterprise software sales, 3+ years selling into Fortune 500 / Global 2000
- A record of closing complex, multi-stakeholder deals with long cycles and security/procurement reviews
- Fluency in DevOps, CI/CD, Kubernetes, cloud, platform engineering, and developer tools. Enough to run a credible first demo and talk with engineers as a peer.
- Experience selling to technical buyers (engineering, platform, security leaders) and economic buyers
- Strong at outbound and pipeline building, not reliant on inbound
- Works well with Sales Engineers on technical evaluations and pilots
- Can build an ROI/risk business case and connect it to an executive initiative
- Consistently exceeds quota
- Ability to travel up to 15%
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Has sold developer platforms, DevSecOps, CNCF/cloud-native, or infrastructure software
- Hands-on with AI coding tools (Copilot, Cursor, Claude, etc.) and can talk credibly about where agentic development is heading
- Has sold into regulated industries (FS, public sector, healthcare) where compliance and data residency matter
- Open source experience, or comfort with product-led, community-driven adoption
- Technical background or engineering-adjacent career start
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Canada
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
Perks &
Benefits
Competitive total compensation package
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $200,000 - $300,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
Perks &
Benefits
Competitive total compensation package
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $200,000 - $300,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: AU: Brisbane (243 Edward St)
Workplace: Hybrid
Are you a CPA or experienced accounting professional looking to leverage your expertise in a dynamic new way?
At Xero, we believe your deep understanding of accounting practices isn't just valuable – it's the key to our success in helping businesses thrive. We're seeking talented individuals with backgrounds in accounting, who understand the workings of accounting practices who are ready to transition their careers from traditional roles to become strategic advisors and relationship builders in the exciting world of cloud accounting technology.
This isn't a typical "sales" role in the traditional sense. Instead, it's about empowering accounting firms, guiding them through digital transformation, and collaborating to shape the future of their practices. If you're driven by impact, eager to share your knowledge, and looking for a career where your accounting acumen opens doors to new opportunities, we want to hear from you.
Why Xero? Why now?
The accounting landscape is rapidly evolving, and Xero is at the forefront of this digital revolution. We're passionate about making business life better for small businesses and their advisors as well as rewarding you in the process. We understand that your journey as an accountant has equipped you with unique insights into:
- The daily operations and challenges of accounting practices.
- The importance of accurate data and efficient processes.
- The trusted relationships built with clients.
- The potential for technology to transform workflows and client services.
- We see these skills as foundational for a highly successful career with us. We're not looking for traditional sales experience; we're looking for your accounting expertise and your desire to make a difference.
What this unique career path offers you:
- Impactful Advisory: You'll be a true partner, consulting with accounting firms to help them embrace cutting-edge digital strategies with the Xero platform.
- Leverage Your Expertise: Apply your accounting knowledge and industry experience to solve real-world problems for accounting practices, guiding them towards greater efficiency and growth.
- Relationship-Driven Role: Build deep, lasting relationships with key decision-makers in accounting firms, becoming their trusted advisor on digital strategy.
- Autonomy & Growth: Work autonomously within your allocated territory, with significant scope for professional development and career progression within a rapidly growing global tech company.
- Meaningful Contribution: Be at the forefront of a movement that is modernising the accounting industry and truly making a difference for millions of businesses.
- Strong Earning Potential: We offer a highly competitive remuneration package, designed to reward your expertise, the value you bring, and your success in driving partner outcomes.
Who we're looking for:
- You're an Accounting Professional: Ideally CPA-qualified, or with significant experience in an accounting practice, and a strong understanding of its operations.
- You're a Natural Relationship Builder: You enjoy connecting with people and are skilled at building rapport and trust.
- You're Solutions-Oriented: You're a problem-solver who can identify needs and offer practical solutions.
- You're Curious about Tech: You have an interest in the emerging online accounting market and the potential of Fintech.
- You're Ready for a New Challenge: You're looking for a change that leverages your existing skills in a new, exciting environment.
Is this the career change you've been looking for? If you're an accountant ready to translate your financial acumen into a dynamic advisory role at the intersection of accounting and technology, we encourage you to apply.
Location: AU: Brisbane (243 Edward St)
Workplace: Hybrid
The role & it's impact:
As a Solutions Consultant you will act as a trusted technical advisor and strategic partner, working alongside our sales team to deliver custom solution designs for accounting practice partners. You will translate complex partner requirements into scalable workflow strategies, identifying potential risks early and helping client firms unlock maximum long-term value from the Xero platform.
By combining deep accounting knowledge with consultative technical expertise, you will lead solution scoping, conduct tailored product demonstrations, and guide partners through seamless migrations. Your efforts will directly drive active software adoption, transforming accountants and bookkeepers into passionate, long-term champions.
The team & how they connect:
You will join a collaborative team of seven reporting directly to our Solutions Consultant Manager. The team serves as the vital bridge between account executives, product engineering, and external practice partners. Together, you will share market insights internally to shape product features while co-designing tailored technical strategies for client growth.
Initially, the role will focus on:
- Leading technical discovery and tailored solution scoping in partnership with Account Executives
- Designing and delivering engaging, custom product demonstrations to address specific firm workflow challenges
- Guiding new practice partners through cloud implementation, workflow mapping, and early adoption up skilling
- Providing expert technical support during sales cycles to overcome operational roadblocks and objections
Where and how you can work:
We support a flexible hybrid working model designed to give you balance while keeping you connected. This role is based in Brisbane with modern office facilities available for collaborative workshops, team connection, and boost days, alongside flexible work-from-home options.
Here are some of the things we are looking for:
- Solid operational experience gained directly within an accounting or bookkeeping practice environment
- Proven success in consultative problem solving, pre-sales or technical solution design within complex environments
- Strong ability to communicate complex concepts simply and present engaging sessions or demonstrations to diverse audiences
- Deep familiarity with cloud-based accounting platforms and broader practice workflow software ecosystems
- Practical experience or comfort leveraging modern productivity technologies, including AI tools, to build efficient solutions
- Highly developed interpersonal skills with the confidence to navigate ambiguity and partner effectively across internal and external teams
At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team so we encourage you to apply even if your experience isn't a perfect match!
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Staff Software Engineer, Data Governance & Trust
San Mateo, CA
About the role
Sony Interactive Entertainment is seeking a Staff Software Engineer to help shape and deliver the technical foundation for Data Governance and Trust across our data and AI ecosystem.
Our ambition is to make data understandable, reliable, reusable, and appropriately governed for the people, applications, and AI systems that depend on it. Achieving this requires shared platform capabilities, clear ownership, and governance practices embedded into how teams build and operate data products.
In this role, you will establish technical direction, lead initiatives across teams, and remain hands-on in architecture and implementation. You will connect metadata, lineage, data quality, semantic context, and policy controls into practical capabilities that help teams use data with confidence.
You will also be a trusted technical representative for the Data Governance and Trust group. We are looking for someone who can lead productive discussions, explain complex tradeoffs, navigate difficult conversations, and build alignment across engineering, business, governance, security, and privacy stakeholders.
This is an individual contributor leadership role with impact across teams.
What you will do
Set technical direction and deliver shared capabilities
Shape the architecture and technical roadmap for Data Governance and Trust in partnership with engineering leadership, product partners, domain teams, and governance stakeholders.
Lead initiatives from discovery and ambiguous requirements through design, implementation, adoption, and ongoing operation.
Design and build services, integrations, APIs, and automation that connect metadata, ownership, classification, lineage, quality signals, and policy information across the data ecosystem.
Establish reusable engineering patterns that embed trust requirements into data publishing, discovery, access, consumption, change, and retirement.
Stay hands-on through prototypes, production code, design reviews, and the resolution of complex technical problems.
Lead conversations and build alignment
Serve as a technical spokesperson for the group in architecture discussions, planning forums, domain engagements, and leadership reviews.
Facilitate discussions among stakeholders with different priorities, surface disagreements constructively, and guide decisions toward clear outcomes.
Explain technical choices, business implications, risks, and costs to both engineering and nontechnical audiences.
Challenge assumptions respectfully, incorporate feedback, and help teams reach workable agreements on standards, ownership, and implementation.
Document decisions, clarify responsibilities and dependencies, and follow through on commitments across teams.
Build relationships that enable adoption through credibility, collaboration, and influence.
Make governance practical and sustainable
Partner with governance, security, privacy, and domain stakeholders to translate agreed requirements into implementable controls and traceable evidence.
Help domain teams define data contracts, quality expectations, ownership responsibilities, and lifecycle practices supported by shared platform capabilities.
Connect quality and reliability signals to accountable owners, consumer communications, and remediation workflows.
Evaluate build, buy, and integration choices based on interoperability, usability, reliability, operating cost, and long-term flexibility.
Measure success through improvements in approved data use, adoption, reliability, reuse, and operational effort.
Prepare the foundation for AI consumption
Develop ways to make business meaning, provenance, quality status, and permitted-use information available to applications and AI through supported interfaces.
Partner with AI and platform teams on governed access to data and context, including traceability and defined behavior when required trust information is missing.
Support shared semantic definitions and metadata models while preserving clear accountability within business domains.
Strengthen the team
Mentor engineers in system design, technical judgment, stakeholder engagement, and leadership.
Raise engineering standards for reliability, maintainability, testing, observability, and documentation.
Help engineers take broader ownership and communicate their recommendations effectively.
What you bring
A track record of designing, building, and operating production software or data platforms, with demonstrated impact across multiple teams.
Deep knowledge of metadata management, data governance, lineage, data quality, privacy engineering, access controls, or closely related platform domains, grounded in practical delivery.
Hands-on expertise building or extending metadata and catalog platforms such as Atlan, Alation, DataHub, OpenMetadata, or comparable systems.
A practical understanding of federated ownership models, data stewardship, semantic models, business glossaries, or certified metrics.
The ability to work across warehouse, lakehouse, streaming, and data transformation environments.
Demonstrated delivery of data contracts, automated lineage, quality checks, or policy as code.
Sound judgment in translating ambiguous business or policy requirements into clear technical designs and delivered outcomes.
Proven ability to lead initiatives across teams without direct reporting authority.
Skill in leading difficult technical or organizational conversations, resolving competing priorities, and securing clear decisions and commitments.
Strong written and verbal communication, including architecture proposals, decision documents, and presentations tailored to different audiences.
A collaborative approach grounded in listening, respectful challenge, and shared accountability.
A commitment to mentoring engineers, supported by examples of improving the effectiveness of the teams around you.
What would be valuable
Strong software engineering skills, including proficiency in a language such as Python, Java, or Go, and practical SQL experience.
Experience with distributed systems, APIs, integrations, and cloud data infrastructure, including sound judgment about reliability, consistency, security, and failure handling.
Experience implementing controls that generate operational evidence.
Delivering governed data or context services for analytics, applications, machine learning, or AI agents.
Leading platform adoption, modernization, or migration across organizational boundaries.
Representing technical work through internal forums, technical writing, communities of practice, or external presentations.
What success looks like
Partner teams understand the technical direction, the decisions required, and their responsibilities.
Cross-team discussions produce documented decisions, accountable owners, and sustained follow-through.
Priority workflows demonstrate connected governance capabilities in production, supported by clear operating ownership.
Producers and consumers can access relevant meaning, ownership, lineage, quality, and permitted-use information within their workflows.
Shared patterns reduce repeated implementation work and manual coordination.
Engineers across the group grow in technical judgment, communication, and leadership.
#LI-KS1
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$216,200
—
$324,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years.
You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows.
WHAT YOU'LL DO
- Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts
- Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity
- Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity
- Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud
- Own the fleet's source of truth for hardware, software, and the physical environment
- Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA
- Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure
- Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it
WHAT WE'RE LOOKING FOR
- Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation
- Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management
- Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions
- Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail
- Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt
- Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP)
- Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it
- Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up
NICE-TO-HAVES
- Operating bare metal fleets at a scale of thousands of hosts
- Experience on a bare metal or datacenter build-out from its early days
- Running a hybrid environment, or moving workloads between public cloud and owned hardware
- DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS
- Building reconcilers or state machines for physical infrastructure
- Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale
- Building internal platforms or APIs used by other infrastructure teams
- Based near our colocation sites, or able to visit them regularly
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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