Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
We’re looking for a Senior Product Marketing Manager to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience.
This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams. You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives.
Replit moves fast — we ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We’re looking for someone who thrives in that environment: part strategist, part storyteller, and part operator.
WHAT YOU’LL DO:
- Lead Product Marketing for our Launches
Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated.
- Shape Messaging & Positioning
Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels.
- Create Sales & Growth Enablement
Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently.
- Lead Competitive and Market Insights
Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out.
- Co-market with our Partner ecosystem
You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives
- Analyze & Learn
Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies.
YOU'LL BE A GOOD FIT IF YOU:
- Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space)
- Love building from scratch — frameworks, processes, teams, and strategy
- Excellent written communication and storytelling skills, with the ability to simplify complexity
- Are equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional sync
- Have a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbook
- Proven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful stories
- Strong project management skills — you can juggle multiple launches and keep teams aligned under pressure
- Experience with sales enablement and competitive positioning for technical audiences
- A collaborative, low-ego approach and willingness to dig into the details
BONUS POINTS:
- Experience in app development space or marketing to product managers, designers, sales, marketing or operations teams
- Experience with Partner/Ecosystem Marketing- to start with, we are looking for a generalist who can also help out with Partner Marketing
- Experience at a startup or high-growth environment where speed and adaptability matter
- Understanding of AI and machine learning technologies
- A track record of successful launches for developer-facing products
EXAMPLE PROJECTS:
- Establishing a repeatable launch rhythm for major features and smaller updates
- Building a competitive intelligence framework for the AI coding assistant space
- Developing persona-driven messaging for builders across different segments and company sizes
- Launching and executing co-marketing initiatives with Replit’s partner ecosystem
- Coordinating cross-functional launches with engineering, product and marketing
- Defining metrics and feedback loops between product, marketing, and the our builder community
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
ГибридseniorСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
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
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.
Responsibilities:
Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack
Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities
Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents
Review Incident Response metrics and procedures and drive continuous improvement
Work cross functionally with other security and engineering teams
Note: This position will require participation in an on-call rotation
You may be a good fit if you:
3+ years of software engineering experience, with security experience a plus and/or
5+ years of detection engineering, incident response, or threat hunting experience
A solid understanding of cloud environments and operations
Experience working with engineering teams in a SaaS environment
Exceptional communication and collaboration skills
An ability to lead projects with little guidance
The ability to pick up new languages and technologies quickly
Experience handling security incidents and investigating anomalies as part of a team
Knowledge of EDR, SIEM, SOAR, or related security tools
Strong candidates may also have experience with:
Experience performing security operations or investigations involving large-scale Kubernetes environments
A high level of proficiency in Python and query languages such as SQL
Experience analyzing attack behavior and prototyping high quality detections
Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
Experience contributing to a high growth startup environment
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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
—
$405,000 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.
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: India
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
About GalaxyOne:
GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U.S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at
galaxy.app
and you can learn even more here: "
The Launch of GalaxyOne with Zac Prince
" and "
GalaxyOne on FOX Business
."
Who You Are:
This role is a Senior Back End Developer (
Lending/Commercial)
for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy.
This role is office-based and candidates must be based in
Mumbai, India
, to qualify.
What You’ll Do:
Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications.
Help foster a culture of technical excellence, collaboration, and continuous learning.
Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services.
Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes.
Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks.
Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements.
What We’re Looking For:
Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience).
7+ years of experience in back-end development, with at least 2 years in a senior role.
Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services.
Strong experience with SQL and some exposure to NoSQL is nice to have.
Experience with Microservices and Event based architecture.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Experience in using Caching and Messaging Queues like Kafka.
Experience using Postman and Git / Bitbucket.
Bonus Points:
Prior experience working in a startup, taking a product from zero to one.
Experience in financial markets or brokerages.
What We Offer:
Competitive base salary and discretionary bonus
Competitive paid time off
Company-paid health and protective benefits for employees and their eligible dependents
Free virtual coaching sessions through Headspace
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
*Benefits may vary depending on location.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | 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
Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.
This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.
No ML or Research experience is required
Responsibilities
Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
Create reusable platforms and tools that accelerate the development of new research applications
Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
Contribute to technical strategy and architectural decisions for research tooling
Mentor other engineers and help establish best practices for research application development
You may be a good fit if you
Have 5+ years of software engineering experience with a strong focus on full-stack development
Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
Demonstrate high agency and ability to operate independently in ambiguous environments
Can quickly develop deep understanding of complex technical domains
Have strong product instincts and can identify the right problems to solve
Are proficient with modern web technologies (React, TypeScript, Python, etc.)
Have a track record of building user-facing applications that are actually used and loved by their target audience
Communicate effectively with both technical and non-technical stakeholders
Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
Experience building research tools, scientific software, or experimentation platforms
Background in machine learning, AI research, or working closely with ML researchers
Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
Built open-source tools or platforms with active user communities
Experience with data visualization, interactive interfaces, or novel interaction paradigms
Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
Experience leveraging AI/LLMs to build more powerful or efficient tools
Previous work in creative tools, artist tools, or other domains requiring deep user empathy
Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment
Representative projects
Building interfaces for collecting and managing human feedback on model outputs at scale
Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
Developing visualization tools that help researchers understand model behavior and identify failure modes
Designing reusable components and frameworks that enable rapid development of new research applications
Building sandboxed execution environments for safely running AI-generated code
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
—
$405,000 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.
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; San Francisco; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including:
- model architecture and MoE routing optimization
- decoding and inference-time algorithm improvements
- software/hardware co-design for GPU acceleration
- performance optimization without compromising model quality
Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.
Key Responsibilities:
As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.
Qualifications:
- Have a PhD in Machine Learning or a related field
- Understand LLM architecture, and how to optimize LLM inference given resource constraints
- Have significant experience with one or more techniques that enhance model efficiency
- Strong software engineering skills
- An appetite to work in a fast-paced high-ambiguity start-up environment
- Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS)
- Passion to mentor others
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: New York; San Francisco; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads.
Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.
Job Responsibilities:
As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures.
Qualifications:
- 5+ years of experience writing high-performance, production-quality code
- Strong programming skills in C++ or Python (Rust/Go also welcome)
- Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.)
- Ability to diagnose and resolve performance bottlenecks across the model execution stack
- A strong bias for action — you ship fast, measure impact, and iterate
It’s a big plus if you have experience with:
- GPU programming, CUDA, or low-level systems optimization
- Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations)
- Scaling performance-critical distributed systems (e.g., computation, search, storage)
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Delhi, India; Bangalore, India; Ahmedabad, India; Pondicherry, India; Cebu City, Philippines; Davao City, Philippines; Makati, Philippines; Iloilo City, Philippines; Manila, Philippines; Taguig, Philippines; Quezon City, Philippines; Mirpur, Bangladesh; Bangkok, Thailand
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Oracle ERP/Fusion Technical to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Experience:
Minimum 5 years in Oracle Applications and Oracle Fusion.
Technical Skills:
Oracle ERP Database tables, Fusion Analytics Tables (FAW), Oracle Fusion Tables (BIVO)
Oracle Finance, HRMS, SCM, and Payroll modules
Oracle Business Intelligence Cloud Connector
Database Functions, Procedures, Views, and Materialized Views
Advanced SQL calculations (Oracle SQL)
Fusion Web Services
Fusion Bursting Reports and Fusion Dashboards
Fusion Page Composer
Fusion Integration with UCM
Additional Skills:
Prototyping, designing, and requirement analysis
Design methodology and project documentation
Business requirement understanding and data model development
Power BI experience (added value)
Familiarity with secondary tools like
Microsoft Azure, SQL Data Warehouse, Visual Studio
, etc.
УдалённоDelhi, India; Bangalore, India; Ahmedabad, India; Pondicherry, India; Cebu City, Philippines; Davao City, Philippines; Makati, Philippines; Iloilo City, Philippines; Manila, Philippines; Taguig, Philippines; Quezon City, Philippines; Mirpur, Bangladesh; Bangkok, Thailand
Location: Delhi, India; Bangalore, India; Ahmedabad, India; Pondicherry, India; Cebu City, Philippines; Davao City, Philippines; Makati, Philippines; Iloilo City, Philippines; Manila, Philippines; Taguig, Philippines; Quezon City, Philippines
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
MicroStrategy / Power BI Developer
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job Summary:
We are looking for an experienced MicroStrategy / Power BI Developer and Administrator with 6–8 years of expertise in business intelligence, data visualization, and platform administration. The ideal candidate will combine strong technical proficiency with solid business acumen and design sensibility to deliver high-quality analytics solutions and ensure the smooth operation of BI platforms.
Key Responsibilities:
• Development & Reporting:
o Design, develop, and maintain interactive dashboards and reports using MicroStrategy and Power BI.
o Create optimized data models and implement advanced DAX expressions for accurate and efficient analytics.
o Collaborate with business users to understand requirements and provide actionable insights aligned with accounting and IFRS reporting standards.
o Ensure visual consistency and clarity through effective data visualization design.
• MicroStrategy Administration:
o Manage MicroStrategy environment including user management, security roles, project setup, and access controls.
o Handle metadata maintenance, server configuration, scheduling, and report distribution.
o Monitor system performance, perform upgrades, patch installations, and troubleshoot server or application issues.
o Coordinate with IT and database teams to ensure platform stability and data integrity.
o Maintain documentation for configurations, processes, and system changes.
• Advisory & Stakeholder Engagement:
o Act as an analytical advisor, guiding business stakeholders with insights and recommendations.
o Communicate effectively with both technical and non-technical audiences.
o Demonstrate a proactive, self-starting attitude in driving BI initiatives forward.
Required Skills & Qualifications:
• Experience: 6–8 years in BI development and administration, with strong experience in MicroStrategy and Power BI.
• Technical Expertise:
o Advanced knowledge of MicroStrategy architecture, administration, and security management.
o Strong proficiency in Power BI, DAX, and data modelling.
o Familiarity with SQL, ETL processes, and data warehousing concepts.
• Business Knowledge: Strong understanding of Supply Chain and Finance.
• Soft Skills: Excellent communication, problem-solving, and stakeholder management skills.
• Design Sense: A keen eye for layout, design, and data visualization aesthetics.
Location: Dhahran, Saudi Arabia; Lusail, Qatar; Muscat, Oman; Cairo, Egypt; Dubai, United Arab Emirates; Kuwait City, Kuwait
Eram Talent is looking for a dedicated Liaisonman for Offshore operations to be a part of our esteemed client's team. The Liaisonman acts as the primary interface between the Operator’s drilling/workover team, the drilling contractor, and third-party service providers to ensure smooth coordination and execution of offshore drilling and workover operations. The role ensures all operations are conducted safely, efficiently, and in compliance with company and regulatory standards.
Responsibilities
Serve as the focal point between the Operator and Drilling Contractor during offshore operations.
Coordinate day-to-day drilling and workover activities to ensure alignment with operational programs and schedules.
Supervise and monitor drilling, completion, and workover operations to ensure adherence to the approved work program.
Ensure that safety, environmental, and operational procedures are strictly followed at all times.
Communicate operational updates, challenges, and performance reports to the onshore drilling management team.
Verify and endorse contractor and third-party service company daily reports, job tickets, and timesheets.
Participate in daily operations meetings and contribute to planning and problem-solving discussions.
Ensure the availability and readiness of equipment, materials, and personnel for planned operations.
Support incident investigations and recommend corrective actions.
Liaise with logistics, marine, and procurement teams for the timely mobilization/demobilization of personnel and equipment.
Requirements
Minimum of 5 years of experience in offshore operations or liaison roles.
Bachelor’s degree or Diploma in Petroleum Engineering, Mechanical Engineering, or related field.
Minimum 8
years of oilfield experience
, including:
Drilling projects
(jack-up / semi-sub / land rigs) OR
Workover operations
(completion, intervention, and well servicing).
Previous offshore experience with major operators or drilling contractors is mandatory.
Strong knowledge of well control, drilling fluids, downhole tools, completions, and well servicing operations.
Valid offshore survival and medical certificates (e.g., BOSIET, HUET, OGUK).
IWCF / IADC Well Control Certification (Supervisor level preferred).
Excellent communication, leadership, and coordination skills.
Ability to work under pressure in a multicultural offshore environment.
Benefits
Salary is not a constraint ,company is looking for right candidate .
Dhahran, Saudi Arabia; Lusail, Qatar; Muscat, Oman; Cairo, Egypt; Dubai, United Arab Emirates; Kuwait City, Kuwait
Location: Cebu City, Philippines; Davao City, Philippines; Makati, Philippines; Iloilo City, Philippines; Manila, Philippines; Taguig, Philippines; Quezon City, Philippines; Bucuresti, Romania; Rome, Italy; Sofia, Bulgaria; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Dnipro, Ukraine; Budapest, Hungary; Bergisch Gladbach, Germany; Baden-Baden, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Vilnius, Lithuania; Madrid, Spain; Barcelona, Spain; Wien, Austria; Nicosia, Cyprus; Limassol, Cyprus; Dubai, United Arab Emirates; Dammam, Saudi Arabia; Khobar, Saudi Arabia; Jeddah, Saudi Arabia; Hà Nội, Vietnam; Ho Chi Minh, Vietnam; Riga, Latvia; Santiago, Chile; Bolzano, Italy; Tbilisi, Georgia; Batumi, Georgia
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Power BI Developer
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job Summary
We are seeking a highly skilled Power BI Developer with strong experience in financial and accounting data analysis and a solid understanding of Oracle EPM (Enterprise Performance Management) systems. The ideal candidate will be responsible for designing and developing visually compelling dashboards and reports that enable business leaders to make data-driven decisions.
Key Responsibilities
• Design, develop, and maintain Power BI dashboards and reports focused on financial and accounting data.
• Collaborate with Finance, Accounting, and EPM teams to gather business requirements and translate them into analytical solutions.
• Connect Power BI to various data sources (including Oracle EPM, ERP systems, and financial data models) to create dynamic, interactive reports. • Implement data modelling, DAX calculations, and advanced Power BI features to optimize performance and usability.
• Ensure data accuracy, consistency, and security within Power BI datasets and workspaces.
• Develop and maintain KPIs, metrics, and visualizations aligned with business and financial reporting needs.
• Provide ad-hoc analysis and insights to support management decision-making and forecasting activities.
• Collaborate with IT and business teams for data validation and governance within Power BI.
Required Skills & Qualifications
• 6–8 years of experience as a Power BI Developer or BI Analyst.
• Proven experience in financial reporting, accounting analytics, and budgeting dashboards.
• Strong understanding of financial statements, P&L, balance sheet, and cash flow analysis.
Classified as Solutions+ Internal
• Expertise in Power BI Desktop, Power BI Service, DAX, and data modelling best practices.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and stakeholder management skills.
Location: Berlin, Germany
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.
Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!
What's the opportunity?
Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems
Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research
Deeply understand the problem area
Research and identify the right algorithms and tools
Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
Broad applied machine learning knowledge
3-5 years applied ML experience
Practical stats knowledge (experiment design, dealing with confounding etc)
Intermediate programming skills
Strong communication skills, both within engineering teams and across disciplines.
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills
Bonus skills & attributes
Track record shipping ML products
PhD or other experience in a research environment
Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Strong stats or math background
Visualization, data skills, SQL, matplotlib, etc.
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
Competitive salary, annual bonus and equity
Regular compensation reviews - we reward great work!
Generous paid time off above statutory minimum
Generous family leave (maternity, paternity), to let you spend valuable time with your loved ones
Hybrid working
MacBooks are our standard, but we also offer Windows for certain roles when needed.
Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
Fun events for employees, friends, and family!
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Berlin, Germany
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.
Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!
What's the opportunity?
Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives.
You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership.
Learn more about our engineering culture at
intercom.engineering
What will I be doing?
As an experienced engineer you will:
Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects.
Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation.
Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they.
Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight.
Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work.
Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.
Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
What skills do I need?
Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created
Significant, demonstrated impact that your work has had on the product and/or the teams
Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
You will have experience with Distributed systems
2+ years of experience as the primary technical leader for a team
Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Berlin, Germany
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.
What's the opportunity?
At Fin, you will be a product engineer - someone who solves real customer problems through a
smart and efficient application of your technical knowledge
and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.
We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.
What will I be doing?
As an experienced engineer you will:
Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.
Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Fin's backend infrastructure
Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.
Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.
Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team.
What skills do I need?
4+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team.
Deep knowledge of a high-level programming language (for example, Ruby, Python,
Javascript etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams
Experience with Distributed systems
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: San Francisco, CA | New York City, NY | 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
Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve.
Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact.
Key responsibilities
Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on
Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces
Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs
Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
Set technical strategy and standards for your team's infrastructure
Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident
Mentor other engineers and help raise the technical bar for the team
Minimum qualifications
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Experience making architectural decisions that other engineers and teams build on top of
Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java)
Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP
Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
Preferred qualifications
10+ years of software engineering experience, not including internships
Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL
Low-level systems experience, such as Linux kernel tuning or eBPF
Background in security or privacy engineering best practices
Prior experience as a technical lead or mentor for other engineers
Deadline to apply:
None. Applications are reviewed on a rolling basis.
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.
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: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria
Workplace: hybrid
Responsibilities:
Drive operational excellence across product squads by optimizing delivery processes, governance, and documentation.
Coordinate with card scheme/issuing partner (payment provider).
Ensure new product initiatives and platform changes are well-defined, compliant, and launch-ready through structured business cases and approval processes.
Act as a delivery enabler - removing blockers, coordinating stakeholders, and maintaining the documentation and data foundations needed for rapid, high-quality execution.
Partner with Product Owners, Engineers, and Data Analysts to ensure reliable metrics, dashboards, and insights guide decision-making and prioritisation.
Track performance post-launch, monitor product stability and adoption, and facilitate continuous improvement through structured feedback loops.
Lead planning and operational cadences (KPIs, stand ups, retrospectives), maintaining momentum and alignment across teams.
Identify and implement process improvements that enhance delivery speed, quality, and scalability.
Drive product strategy by translating operational insights, customer feedback, and market intelligence into future features direction, ensuring delivery execution aligns with strategic priorities and the long-term product vision.
Requirements:
Degree in STEM or other quantitative fields.
Minimum 2 years experience in a high performance environment (fintech, consultancy, investment bank, high-growth tech company, etc.).
Minimum 2 years of experience working with debit cards and payments (SWIFT, SEPA, Faster Payments).
Experience working with card schemes (Visa, Mastercard).
Ability to solve complex problems independently.
Deep empathy for customers and commitment to user-centred design without compromise.
Strong stakeholder management and communication skills, capable of influencing across functions.
Data-driven mindset, able to turn insights into actionable improvements.
Strong ownership mentality – proactive, accountable, and execution-focused approach.
Nice to have:
Experience building or scaling successful products - particularly financial or data-driven - using analytics, customer feedback, and pragmatic judgment.
Experience with compliance regulations for card products (onboarding, notifications, restrictions).
Experience with fraud monitoring for card transactions.
ГибридWarsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria
Location: Toronto; San Francisco; Canada; Seattle; London; United States; New York
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress.
Key Responsibilities:
- Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish.
- Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations.
- Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.
- Build scalable and reusable tools for digging into model performance.
Qualifications:
- You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.
- You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.
- You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.
- You have strong software engineering skills.
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: New Cairo City, Egypt
Müller’s Solutions is seeking a Systems and Cloud Administrator to join our remote team. In this role, you will be the backbone of our cloud infrastructure and related systems, managing deployments, maintaining resources, and ensuring optimal functionality. You will work closely with cross-functional teams to support our operations in various environments while fostering a culture of collaboration and performance excellence.
The
Systems and Cloud Administrator
is responsible for managing, operating, and optimizing the organization’s
hybrid infrastructure environment
, spanning
on-premises virtualization platforms (VMware)
and
multi-cloud environments
including
OCI, GCP, and Microsoft Azure
.
The role includes
L3 operational support
,
system performance optimization
,
identity and access management
, and ensuring
business continuity, security, and compliance
across all systems
Key Responsibilities:
Oversee and sustain the
VMware vSphere / ESXi / vCenter
infrastructure, which involves managing the VM lifecycle, templates, clusters, high availability (HA), and distributed resource scheduling (DRS).
Administer
Windows Server environments
, including Active Directory, DNS, DHCP, Group Policy, IIS, File/Print services, and WSUS.
Manage
Linux systems
such as RHEL, Ubuntu, and CentOS, focusing on security hardening, patch management, and automation tasks.
Conduct
L3 troubleshooting
for operating system-level issues, virtualization challenges, and performance problems.
Establish and uphold
patching, configuration management, and compliance with baseline standards
.
Monitor and optimize
system capacity, resource utilization, and performance tuning
to ensure maximum availability.
Manage and provide support for
Oracle Cloud Infrastructure (OCI)
services, encompassing compute, storage, networking, and Identity and Access Management (IAM).
Oversee
Google Cloud Platform (GCP)
projects, including IAM roles, VM instances, and networking components.
Operate
Microsoft Azure cloud services
, such as virtual machines, storage solutions, virtual networks, and monitoring services.
Implement and maintain
hybrid connectivity
solutions including VPNs, ExpressRoute, and interconnects.
Assist with the
migration and deployment
of workloads between on-premises infrastructure and public cloud environments.
Monitor and enhance
cloud resource usage and cost management
across different platforms.
Administer
Azure Active Directory / Entra ID
for managing user lifecycles, single sign-on (SSO), and conditional access policies.
Integrate
on-premises Active Directory with Azure Active Directory / Entra ID
for effective hybrid identity management.
Manage
group policies, multi-factor authentication (MFA), access controls, and application integrations
.
Troubleshoot issues related to
authentication, federation, and directory synchronization
.
Support activities related to
replication, snapshot management, and failover testing
for critical workloads.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3-5 years of experience in a Systems Administrator or Cloud Administrator role.
Proficiency in cloud solutions such as AWS, Azure, or Google Cloud.
Hands-on experience with Windows and Linux server administration.
Knowledge of scripting languages like PowerShell or Bash for task automation.
Strong analytical and problem-solving skills for effective troubleshooting.
Excellent verbal and written communication skills suited for a remote work environment.
Preferred Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
5+ years of experience in systems, virtualization, and cloud administration.
Proven experience with:
VMware vSphere / ESXi / vCenter
Windows Server (2016–2022) and Linux (RHEL / Ubuntu / CentOS)
Azure AD / Entra ID
Oracle Cloud Infrastructure (OCI)
Google Cloud Platform (GCP)
Backup & DR solutions (Veeam, etc.)
Strong understanding of networking fundamentals, storage concepts, and identity management.
Excellent troubleshooting and root-cause analysis skills.
Preferred
VMware Certified Professional (VCP)
Microsoft Certified: Azure Administrator (AZ-104) or Entra ID / Identity Engineer
Red Hat Certified System Administrator (RHCSA) or Linux+
Oracle Cloud Infrastructure Associate / GCP Cloud Engineer
ITIL Foundation v4 for process awareness
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Caracas, Venezuela, Bolivarian Republic of
We are an expanding engineering consultancy focused on electrical design for wastewater and stormwater lift stations. We are seeking an experienced engineer to lead projects, guide a small drafting team, and support our growth into areas like treatment plant design.
Responsibilities
Collaborate with civil engineers, city officials, and equipment vendors to define project requirements.
Oversee and review the work of a drafting team, and update plans when necessary.
Work closely with Professional Engineers (PEs) to review and approve designs.
Monitor project progress, communicate updates to clients, and ensure deadlines are met.
Review submittals during bidding and construction phases.
(Optional)
Contribute to expanding services into treatment plant projects and help standardize drafting procedures and CAD templates.
Requirements
Hands-on experience in wastewater electrical engineering (lift stations, pump stations, or treatment plants).
Previous experience working for the U.S Market in this same indsutry will be highly valued.
Excellent written and verbal English communication skills.
Strong AutoCAD skills, with experience reviewing and checking drafting work.
Experience managing or coordinating projects with multiple stakeholders.
Knowledge of Autodesk Vault or similar project management software is a plus.
Broader experience in MEP disciplines (mechanical, civil, etc.) is an advantage.
Benefits
Take a leadership role in a growing consultancy.
Work on innovative wastewater and stormwater projects.
Collaborative environment with opportunities to expand your expertise into new project types.
Work from anywhere!
УдалённоCaracas, Venezuela, Bolivarian Republic of
San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
seniorIndia; This role is office-based and candidates must be based in
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