Location: Remote - Global
Workplace: Remote
About the company
Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place.
ABOUT THE ROLE
As a Senior Data Engineer, you will play a key role in building and scaling the data platform that powers analytics across Trust Wallet. You'll be responsible for designing, developing and maintaining data pipelines and data models, ensuring a seamless, scalable and reliable flow of data from source systems through to the decisions it supports. Leveraging your experience with Databricks and Spark across both streaming and batch workloads, dbt or a similar transformation framework, cloud infrastructure, and custom solutions in Python, you'll work closely with our data analysts and engineering teams to turn data into a strategic asset for our company.
KEY RESPONSIBILITIES
- Data Platform Engineering: Architect and maintain robust, scalable and secure data infrastructure on Databricks, covering both streaming and batch workloads.
- Data Pipeline Development: Design, develop and maintain data pipelines, primarily in Python and Spark, to automate ingestion and transformation across internal systems, external providers and on-chain sources.
- Data Modelling: Design and maintain dimensional data models and transformation layers in dbt, with tests and documented contracts, so metrics are consistent and reusable across the company.
- Data Lake Management: Oversee the data lake and lakehouse layers, ensuring efficient storage, effective partitioning, high data quality, and monitoring and alerting that surfaces issues early.
- Integration and Customisation: Integrate Databricks with a wide range of data sources, including change data capture from operational databases, third-party APIs and blockchain data, and adapt data flows to specific business needs.
- Performance, Scalability and Cost: Optimise pipelines and storage for performance, reliability and cost efficiency at scale.
- Data Governance and Security: Apply best practices for governance, security and compliance in cloud and Databricks environments, including access control, encryption and monitoring.
- Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements, and document infrastructure, models and best practices.
REQUIRED QUALIFICATIONS
- Experience in Data Engineering: 3+ years as a Data Engineer, with hands-on ownership of production pipelines and lakehouse or data warehouse architecture.
- Databricks and Spark: Strong practical experience with Databricks, Delta Lake and Spark, including both streaming and batch processing, and the judgement to choose between them.
- Data Modelling: Solid understanding of dimensional modelling, slowly changing dimensions and data warehouse design, with the ability to define and defend the grain of the models you build.
- Transformation Frameworks: Experience with dbt or an equivalent framework for managing transformations, testing and lineage.
- Cloud Proficiency: Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code. We run on AWS; deep experience with Azure or GCP transfers well.
- Proficiency in Python and SQL: Comfortable writing production transformations as well as services and connectors.
- Data Quality and Governance: Experience implementing testing, monitoring and governance practices in cloud data environments.
PREFERRED SKILLS
- Experience with change data capture and replication from operational databases
- Familiarity with blockchain or on-chain data
- Infrastructure as code, ideally Terraform, and CI/CD for data workloads
- Experience with BI and semantic layers such as Holistics, Looker or similar
- Containerisation and orchestration (Docker, Kubernetes)
ADDITIONAL INFORMATION
This is a global and fully remote role. You must have the right to work for the country you are based.
WHY WORK AT TRUST WALLET?
- Be a part of the world’s leading blockchain ecosystem that continues to grow.
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
- Tackle fast-paced, challenging and unique projects.
- Work in a truly global organization, with international teams and a flat organizational structure.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
Программа рассчитана на разработчиков с опытом, которые хотят углубиться в AI-разработку и научиться применять AI в своей работе.
Старт курса - осень 2026 года. Длительность - 6 месяцев, за это время участники смогут:
• Освоить работу с GPT, Claude, Cursor, LangChain, RAG и другими AI-технологиями;
• Научиться автоматизировать до 70% рутинных задач команды;
• Создать production-ready AI-продукт в портфолио;
• Научиться проектировать системы с продуманной архитектурой.
Грант TechOrda покрывает 50% стоимости обучения.
Дедлайн подачи заявок — 7 сентября. Количество грантов ограничено, ранние заявки рассматриваются в первую очередь.
Location: NYC, Remote; San Francisco, California
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.
What's the opportunity?
We’re seeking a transformational Solutions Engineering leader to lead our Mid Market and Enterprise SE teams in North America. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility.
This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed.
What will I be doing?
Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function.
Lead, coach, and scale a high-performing SE team across global regions and core verticals.
Operate as a player-coach, actively engaging in strategic deals while developing team capabilities.
Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise.
Serve as a trusted technical advisor and executive point of contact for large customers.
Partner closely with Sales, Product, Marketing, and R&D to shape verticalized GTM motions and solution strategy.
Champion a customer-obsessed culture across the pre-sales journey – from outbound to implementation.
Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments.
Build reusable, scalable solution frameworks, and industry-specific technical assets.
Advocate for customer needs and insights internally to influence product roadmap and prioritization.
Represent Intercom and the SE function externally through executive meetings and strategic events.
Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact.
What skills do I need?
5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role.
Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams.
Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day.
Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues.
Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive.
A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth
Excellent communication and presentation skills
The OTE salary range for candidates within the San Francisco Bay Area or NYC is $279,000-$333,250. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#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: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country
We are looking for an ML/AI Engineer with solid knowledge of cloud technologies, Infrastructure as Code (IaC), CI/CD practices, and software engineering best practices, focused on designing, building, and operationalizing Generative AI based solutions.
You will join a strategic initiative within the Emantto domain, contributing to the acceleration of the organization's AI portfolio across multiple business areas.
This role combines ML/AI engineering with strong software engineering, cloud, and infrastructure expertise. You will build and operate Generative AI driven data products, support domain teams, and act as a facilitator for the Data & AI Platform.
Develop and deliver data products and AI/Generative AI solutions within domain teams.
Act as a facilitator of the Data & AI Platform, enabling adoption and accelerating delivery across teams.
Build, deploy, and operate Generative AI and Machine Learning models in scalable, production ready environments.
Manage infrastructure related aspects of environments and AI/ML products, including observability, performance, and reliability.
Contribute to CI/CD pipelines, Infrastructure as Code practices, and platform automation initiatives.
Collaborate with cross functional teams, including Software Engineering, Data Engineering, MLOps, and DevOps teams, to maintain high engineering standards.
Support experimentation frameworks and internal tools for Generative AI model development and evaluation.
Experience working with Google Cloud Platform (GCP).
Experience with Terraform or other Infrastructure as Code tools.
Strong proficiency in Python.
Experience in backend engineering, including APIs and services, as well as Generative AI, Machine Learning, or MLOps technologies such as Airflow, MLflow, pipelines, and monitoring tools.
Solid understanding of CI/CD practices, containerization using Docker, and software engineering best practices.
Familiarity with model deployment, model serving, and operating Machine Learning and AI systems in production environments.
Experience with observability, incident response, or platform operations.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team.
Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth.
Key responsibilities
Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement
Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control
Develop evaluation frameworks for agent behavior, and run them in development and in production
Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue
Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse
Set the technical direction for how we build, evaluate, and operate agents across the team
Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high
Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe
Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques
Minimum qualifications
Strong programming skills in Python or TypeScript, with experience building and operating production applications
Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks
Experience using evals and transcript analysis to find and fix real problems in an LLM system
Working fluency with data, including SQL
Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems
Passion for advancing safe, beneficial AI, and care for the people who use what you build
Preferred qualifications
8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply
Experience with the Claude Code and the Claude Agent SDK
Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team
Experience growing a codebase that many people contribute to, inner-source or open-source
Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis
Exceptional communication skills to convey technical concepts to non-technical partners with low ego
Representative projects
(Illustrative of the kind of work, not a project list.)
Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action
Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change
Ship an MCP server that gives sellers and their agents governed access to a core revenue system
Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy
Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action
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
—
$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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Workplace: Remote
We are growing our support team at ClickHouse, and we're looking for a Senior Technical Customer Support Engineer, Federal, to serve the specific needs of our U.S. public sector customers, federal agencies, and the contractors and integrators who support them. This role sits within our global Support Engineering team but has a dedicated focus to deliver the same excellent, technically deep support our commercial customers rely on, while meeting the compliance, security, and operational constraints that federal environments require.
You'll be the primary technical point of contact for customers operating ClickHouse in government-authorized environments, triaging and resolving support cases, guiding customers through secure deployment and operational best practices, and partnering closely with our Product, Engineering, and Go-To-Market teams to make sure ClickHouse's platform meets the bar federal customers require.
This is a U.S. Persons-only role. Because of the export-control status of the data, systems, and customer environments involved, all candidates must independently qualify as U.S. Persons before being considered. This applies regardless of visa sponsorship status, work authorization, or physical location within the U.S. Beyond this requirement, you'll also need to be prepared to work within the access, communication, and documentation controls that federal engagements demand.
What you will be doing:
- Serving as the primary technical support contact for ClickHouse's U.S. federal and public-sector customers, across cases, chat, Slack, and meetings, consistent with applicable federal communication and data-handling requirements
- Developing solutions based on ClickHouse Cloud and ClickHouse open-source, and sharing them with federal customers and internal teams via documentation, knowledge base articles, and internal runbooks tailored to government deployment patterns
- Guiding customers through deployment, configuration, and troubleshooting within government-authorized environments, including AWS GovCloud-adjacent infrastructure where applicable
- Working closely with our global Support Services, Engineering, Security/Compliance, Product Management, and Go-To-Market teams to represent the requirements of federal customers and help prioritize the roadmap accordingly
- Supporting technical aspects of federal POCs, security questionnaires, and Authority to Operate (ATO)-adjacent evaluations in partnership with Go-To-Market and Security teams
And of course:
- You will deliver excellent customer service as a technical engineer and representative of ClickHouse to our federal customer base. Our Support Engineers provide professional response, on-call coverage, and guidance within required SLAs on technical cases opened via the ticketing system, email, Slack, chat, and/or phone
- You will build strong, trusted relationships with colleagues, customers, and partners, including government program stakeholders and the systems integrators and resellers who support them
What you bring along:
- Required: U.S. Person status, as defined above and verified during the interview process prior to any offer
- Technical breadth and depth in ClickHouse open-source or ClickHouse Cloud, or in domains relevant to ClickHouse, such as SQL databases, OLAP, cloud-native SaaS, and distributed systems
- Previous technical experience in roles such as Support Engineer, Consultant, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer
- Proven experience developing familiarity with the operational and compliance realities of federal IT environments (e.g., FedRAMP, DOD IL, AWS GovCloud, air-gapped or sovereign-cloud deployments)
- Strong communication skills, sound judgment around sensitive data handling
- A mindset of teamwork, empathy, and solving challenging problems under the additional rigor that government customers require
- You are self-driven, curious, and eager to continuously learn and grow
Bonus points:
- Prior experience supporting federal, state/local/education (SLED), or other public-sector customers in a technical support, TAM, or solutions engineering capacity
- Experience with FedRAMP-authorized services, AWS GovCloud, Azure Government, or equivalent sovereign/air-gapped cloud environments
- An active or recently active U.S. government security clearance (not required, but a plus for future-facing work with more sensitive agencies)
- Experience with ClickHouse
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Remote
Company Description
We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company.
We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us.
Job Description
Olsson provides multidisciplinary design services for some of the largest and most forward-thinking and desirable companies in the world to work for. We design large hyperscale data center campuses and colocation data centers throughout the U.S.. This role will give you the opportunity to work on some of the largest and most complex engineering-driven projects being built today. Our clients are relationship based and truly value the work we do for them, affording us the opportunity to contribute to society’s technological and connected community through the design of the critical infrastructure that is the foundation of these projects.
As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm’s largest and most complex projects. You will receive instructions on assignment objectives and complex features and perform work involving standard plans. This role contributes to generating ideas and creating designs that provide purposeful, high-quality solutions to successfully solve engineering and design needs.
We have several current openings and will consider
candidates interested in being located out of any Olsson office location, hybrid, or fully remote in various locations of the US. This role includes
flexible work options to accommodate diverse working preferences and promote work-life balance.
Qualifications
You are passionate about:
Working collaboratively with others
Having ownership in the work you do
Using your talents to positively affect communities
Empowering others to use their talents
You bring to the team:
Strong communication skills
Ability to contribute and work well on a team
Bachelor’s degree in engineering
Must be a registered professional engineer (PE)
A minimum of 4 years of related civil engineering experience
Proficiency in Civil 3D software
The posted salary range for this position correlates with our Colorado office locations and is commensurate with experience relative to the position.
#LI-AA1 #LI-Remote
Actual compensation will vary based on factors such as experience, qualifications, geographic location, skills, education, and internal equity.
Colorado Pay Range
$88,000
—
$116,000 USD
Additional Information
Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come.
As an Olsson employee, you will:
Receive a competitive 401(k) match
Be empowered to build your career with tailored development paths
Have the possibility for flexible work arrangements
Engage in work that has a positive impact on communities
Participate in a wellness program promoting balanced lifestyles
In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance.
Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status.
Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices.
For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice
here
.
Location: Colorado Springs, CO; Dallas, TX; Denver, CO; Des Moines, IA; Fayetteville, AR; Fort Worth, TX; Kansas City, MO; Lincoln, NE; Little Rock, AR; Loveland, CO; North Kansas City, MO; Oklahoma City, OK; Omaha, NE; Overland Park, KS; Phoenix, AZ; Springfield, MO; St. Louis, MO; Tulsa, OK
Company Description
We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company.
We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us.
Job Description
Olsson provides multidisciplinary design services for some of the largest and most forward-thinking and desirable companies in the world to work for. We design large hyperscale data center campuses and colocation data centers throughout the U.S.. This role will give you the opportunity to work on some of the largest and most complex engineering-driven projects being built today. Our clients are relationship based and truly value the work we do for them, affording us the opportunity to contribute to society’s technological and connected community through the design of the critical infrastructure that is the foundation of these projects.
As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm’s largest and most complex projects. You will receive instructions on assignment objectives and complex features and perform work involving standard plans. This role contributes to generating ideas and creating designs that provide purposeful, high-quality solutions to successfully solve engineering and design needs.
We have several current openings and will consider
candidates interested in being located out of any Olsson office location, hybrid, or fully remote in various locations of the US. This role includes
flexible work options to accommodate diverse working preferences and promote work-life balance.
Qualifications
You are passionate about:
Working collaboratively with others
Having ownership in the work you do
Using your talents to positively affect communities
Empowering others to use their talents
You bring to the team:
Strong communication skills
Ability to contribute and work well on a team
Bachelor’s degree in engineering
Must be a registered professional engineer (PE)
A minimum of 4 years of related civil engineering experience
Proficiency in Civil 3D software
The posted salary range for this position correlates with our Colorado office locations and is commensurate with experience relative to the position.
#LI-DNP
Actual compensation will vary based on factors such as experience, qualifications, geographic location, skills, education, and internal equity.
Colorado Pay Range
$88,000
—
$116,000 USD
Additional Information
Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come.
As an Olsson employee, you will:
Receive a competitive 401(k) match
Be empowered to build your career with tailored development paths
Have the possibility for flexible work arrangements
Engage in work that has a positive impact on communities
Participate in a wellness program promoting balanced lifestyles
In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance.
Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status.
Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices.
For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice
here
.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence
About Reddit
Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit
redditinc.com
.
Team Overview
The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate. Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably.
We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle. The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement. Over time, this scope will expand into serving and online experimentation workflows, creating a more seamless path from offline iteration to production impact.
This is a senior technical leadership role for someone who can combine deep systems expertise, production ML experience, architectural judgment, and cross-team influence.
What You’ll Do
Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows.
Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate.
Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency.
Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity.
Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service.
Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience.
Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution.
Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders.
Who You Might Be
You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.
You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines.
You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption.
You have built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.
You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.
You have worked with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.
You can balance urgent customer needs with durable long-term architecture and reusable platform patterns.
You influence senior engineers and leaders through clear technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms.
You are excited to shape how production ML systems are built, scaled, and operated, not only how models are trained.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$292,500
—
$409,500 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: New York, NY or Remote
About Us:
EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of
Inc.’s Best Workplaces
3 years in a row and Built In’s Best Places to work in 2025 and 2026!
About You:
As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.
In this Role You Will:
Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows
Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness
Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production
Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance
Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback
Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments
Skills Requirements:
5-8+ years of experience writing performant Python code following modern best practices
Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments
Proven experience leading technical projects and driving them from concept through production deployment
Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability
Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures
Proven ability to build and integrate API services within service-oriented or microservice architectures
Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes
Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications
Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders
Bonus Points:
Experience translating state-of-the-art AI/ML research into production code
Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes
Experience building agentic or autonomous AI systems in production
Background working with multimodal data (e.g., images, audio)
Experience mentoring engineers or providing technical leadership across projects or teams
Work-life, Culture & Perks:
Compensation:
The base salary range is
$200-235K,
with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being:
Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family:
Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life:
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training:
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship:
We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: Ukraine; Azerbaijan
About the Role
OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly.
We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers.
What You'll Do
Develop and maintain our AWS-based data platform for a quickly scaling business.
Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems.
Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented.
Contribute to architecture decisions and technical direction across the platform.
Ensure data quality, performance and scalability.
Own data protection obligations within our pipelines, including retention, deletion and subject access requests.
Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions.
Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence.
Basic Qualifications
5+ years of professional experience building and running production data pipelines end to end.
Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided.
Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story.
Experience running dbt in production, including testing, documentation and CI.
Strong SQL, including tuning analytical queries, and strong Python.
Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift.
Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch.
Experience with infrastructure automation and observability, including infrastructure as code (Terraform).
Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests.
Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow.
Strong communication skills in English. Russian is a plus.
Preferred Qualifications
Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API).
Mortgage, property or financial services domain experience.
Experience with BI tooling such as Looker or Metabase.
Familiarity with managed ingestion tools such as Fivetran or Airbyte.
AWS certification.
What We Offer
Challenging tasks with a great opportunity to level up your skills.
20 working days of paid vacation, with additional days off following the UK holiday calendar.
Working hours of 9:00-17:00 London time.
An international team spread across Ukraine and Azerbaijan.
Ready to Build?
OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you.
Salary: $4,500 – $5,500
Location: South Korea
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Strong English and Korean communication skills - clear, direct, and persuasive across technical and non-technical audiences
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Belgrade
Workplace: remote
About Collectly
Collectly is a fast-growing healthcare technology company transforming revenue cycle management (RCM) through AI-driven automation. Millions of patients navigate inefficient billing systems every day, while providers face delayed payments, rising administrative burden, and operational complexity.
Collectly applies artificial intelligence to automate workflows, accelerate cash flow, and modernize the patient financial experience; enabling healthcare organizations to operate more efficiently and focus on delivering care.
There could not be a hotter space to play in. Healthcare is a $4.9T industry and is adopting AI technology at 2.2x the rate of the rest of the economy. RCM is at the heart of this transformation as it has a clear and demonstrable ROI to our customers.
About the role
We’re hiring a Senior Product Data Analyst to own how customers and our own teams see product performance. You will work both on our pre-service products (visit cost estimates, eligibility and benefits, patient support voice agent) and post-service (patient billing, revenue cycle metrics). You’ll
own the dashboards for these products, provide visibility into our product performance, and use the data to find product gaps.
You’ll build customer-facing metrics yourself, mostly with AI tools like Claude Code. This is a product role more than an infrastructure one: we want your time going into how each product behaves and what customers run into, not into maintaining pipelines.
We are a hybrid company, partly based in Santa Monica, USA and partly remote, spread out around the United States & Europe.
Key responsibilities
In this role you will
Own the dashboards that product and customer teams work from, across most of our products.
Turn complaints and open questions into defined metrics, and track them over time.
Catch product issues in the data before they become escalations.
Work with the founder, product managers, engineers, and customer success to decide what to measure, and explain why a number moved.
Required qualifications
Must-haves
At least 4 years in data or product analytics.
Strong SQL and Python.
Software engineering experience
A product mindset: you start from what the customer experiences, not from what’s in the tables.
Fluency with AI-assisted development — we build dashboards and analyses with agentic coding tools (Claude Code and similar) as part of the day-to-day.
Healthy skepticism about numbers: you validate before you trust.
Exceptional written and oral communication skills.
Nice-to-haves
Startup experience.
Worked with machine learning-related products
Experience building dashboards people actually use (Metabase, Looker, or similar).
Healthcare experience: eligibility and benefits, patient billing, revenue cycle.
Comfort reading application code to see where a number comes from.
Collectly is a tech-enabled patient billing platform that works as an add-on for your EHR/PM. Collectly accelerates and increases patient cash flow, streamlines post-service billing operations, and provides the best patient experience that works for all demographics.
Please, see a short video about us
Location: Worldwide
We are looking for a hands-on
Engineering Manager
for
AI Business Features
- the team that turns business and product hypotheses into production AI features. You will lead a cross-functional engineering team, own delivery end to end, and work directly with Product, Data, and AI on scope and prioritization. The role requires enough technical depth to review architecture and challenge design decisions yourself, not through a proxy.
The team works in short cycles: hypotheses go to production, get measured, and are then scaled or dropped. Expect a broad portfolio of initiatives rather than one long-running product.
Challenges that await you:
Lead the team across hiring, planning, task decomposition, process improvements, and cross-team collaboration
Own and drive the development of an
AI-powered
products from concept to production
Ensure strong team performance and reliable, on-time delivery aligned with product and business goals
Partner closely with Product, Data, and AI teams to build impactful, user-centric solutions
Tackle complex technical and product challenges while maintaining high engineering quality standards
Shape the architecture, design, and implementation of scalable backend services and integrations
What makes you a great fit:
Experience leading engineering teams (hiring, development, performance, and delivery management)
Proven experience leading teams in AI, ML, or data-driven engineering environments; experience training models is a plus
Strong technical background with hands-on development experience and the ability to validate technical decisions independently
Experience building AI-powered, user-facing products (e.g., assistants, recommendations, or intelligent features) from concept to production, including running A/B tests
Ability to translate ambiguous business and product requirements into clear technical solutions and priorities
Strong cross-team communication skills and ability to collaborate with Product, Data, AI, and business stakeholders
English proficiency at B1 level or higher for effective collaboration with an international team
Our ways of working:
Innovative Spirit:
A commitment to creativity and groundbreaking solutions
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
Relocation support
to one of our hubs — Cyprus, Spain or Georgia — with assistance for the employee and their family
Flexible work
from one of our offices or remote
Healthcare
Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursements
Vacation Policy:
Annual leave and paid sick leave as per applicable policies
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Sydney
,
Australia
What you will do as a Manager, Customer Engineering
The Manager, Customer Engineering leads a team of Customer Engineers (CE) who own the full customer technical journey from initial discovery through long-term adoption, retention, and account expansion.
Sitting within the GTM organization and reporting to a Customer Engineering Senior Leader, you will be responsible for building, coaching, and enabling a high-performing team of quota-carrying technologists. You will ensure your team leverages AI-augmented workflows to eliminate administrative toil and focus on high-value architectural design, technical validation, and the delivery of measurable business outcomes across the entire customer journey.
This is a player-coach role where you have the ability and willingness to step into the field and lead by example. You will manage daily, forecast weekly, and hire always while remaining deeply connected to the technical, commercial, and operational realities of the customer engineering motion.
Key Responsibilities
Team Development & Performance:
Recruit, onboard, coach, and retain a diverse team of Customer Engineers across multiple levels. Set clear expectations, conduct regular 1:1s and performance reviews, and maintain a strong feedback culture that accelerates growth.
Pipeline & Forecasting:
Manage your team's opportunity pipeline, forecast new business and expansion outcomes weekly, and own the accuracy of your team's number. Identify risk early and coach reps on deal strategy.
Commercial Accountability:
Be accountable for your team's achievement of new business acquisition, expansion, adoption, and consumption targets. Partner closely with Sales, Customer Experience, Professional Services, and regional leadership on account planning and execution.
Deal Coaching & Technical Strategy:
Accompany Customer Engineers on critical customer calls, QBRs, discovery sessions, and PoC reviews. Provide real-time coaching on architecture, commercial positioning, and executive communication.
Operational Excellence:
Ensure the team operates efficiently within established GTM processes (forecasting, opportunity management, account planning, QBR cadence). Use dashboards and operational reviews to spot trends, unblock friction, and drive consistency.
AI & Productivity Enablement:
Champion the adoption of AI agents, LLMs, and automation tools across the team. Identify opportunities to reduce toil, improve response quality, and scale technical advisory impact.
Cross-Functional Leadership:
Serve as the voice of your team and your territory in leadership meetings. Partner with Product, Engineering, Support, Marketing, and Enablement to surface field feedback and advocate for customer and team needs.
Culture & Values:
Model Cloudflare's values and build an inclusive, high-performance team culture rooted in curiosity, ownership, and continuous improvement.
Minimum Qualifications
Experience:
5+ Years of proven experience leading quota carrying customer-facing technical teams in a SaaS, cloud, or infrastructure environment. Track record of hiring, developing, and retaining technical talent. Prior quota-carrying Solutions Engineering, Customer Engineering, Sales Engineering, or related technical field experience is strongly preferred.
Architectural Mindset:
Ability to white-board, design, and articulate complex enterprise network and security architectures clearly enough to guide coaching and deal review.
Consultative & Advisory Skills:
Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Revenue Acumen:
Demonstrated success owning and forecasting a revenue number, preferably in an enterprise B2B SaaS or infrastructure environment. Deep understanding of enterprise sales cycles, SaaS metrics, ACV, renewal, and expansion motions.
Leadership & Coaching:
Excellent people management skills with the ability to coach technical sellers through complex deals, difficult conversations, and career growth. Comfortable giving direct, actionable feedback.
Communication:
Exceptional written and verbal communication with the ability to influence executives, peers, and cross-functional teams. Capable of representing the team in executive QBRs and regional business reviews.
AI Proficiency:
Familiarity with AI-augmented workflows, LLMs, and automation approaches that improve team productivity. Willing to lead by example in adopting AI tools.
Technical Fluency:
We do not expect managers to be hands-on engineers across every domain. Qualified candidates will demonstrate fluency in at least two or three of the following technical areas, with the ability to follow architecture discussions and coach reps:
Internet fundamentals:
Strong foundational understanding of how the Internet works, including DNS, HTTP(S), TCP/IP, and SSL/TLS.
Security:
Foundational knowledge of security concepts such as WAF, Bot Management, Zero Trust, SASE, and threat mitigation.
Performance:
Foundational knowledge of performance concepts such as caching, latency, content delivery, and traffic steering.
Platform / Cloud Fluency:
Hands-on experience with cloud platforms, edge services, APIs, automation, or developer tooling.
Strongly Preferred Qualifications (The "Good-to-Haves")
Cloudflare Ecosystem Expertise:
Experience with Cloudflare's product portfolio or familiarity with CDN, security edge, Zero Trust, developer platform, or AI workloads.
Scaled Management Experience:
Experience managing managers or teams distributed across regions and time zones.
GTM Process Design:
Track record of improving operational cadence, enablement, and forecasting discipline within a fast-growing technical sales organization.
Regulatory Knowledge:
Understanding of compliance frameworks such as PCI DSS, HIPAA, SOC 2, GDPR, or FedRAMP.
Hyperscaler / Digital Native Background:
Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education:
Undergraduate or graduate degree in Computer Science, Engineering, Business, or a related field.
Travel
This role may require travel up to 25–50% to attend customer meetings, team offsites, industry events, and in-person collaboration.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Dubai, United Arab Emirates
We are looking for an experienced
Planning Engineer
to join our team in Dubai and take responsibility for project planning, scheduling, progress monitoring and reporting across major construction projects.
Key Responsibilities:
Develop, maintain and update detailed project schedules from project initiation through completion
Prepare baseline schedules, detailed work programmes and resource-loaded schedules
Monitor project progress against approved plans and identify potential delays and risks
Perform critical path analysis and assess the impact of delays on overall project completion
Prepare weekly and monthly progress reports, dashboards and schedule updates for project management and stakeholders
Develop and support recovery and mitigation plans where project performance is behind schedule
Conduct delay analysis and support the preparation of extension of time (EOT) claims
Coordinate planning activities with Project Managers, Site Teams, Engineers, Contractors and other stakeholders
Review contractors’ and subcontractors’ programmes and assess compliance with contractual requirements
Monitor key project milestones and ensure that planning data accurately reflects actual site progress
Support project forecasting and provide management with recommendations to improve schedule performance
Requirements
Bachelor’s degree in Civil Engineering, Construction Management or a related field
Minimum 10 years of experience as a Planning Engineer or Project Controls Engineer
Proven experience on large-scale construction projects
Strong knowledge of project scheduling methodologies, critical path analysis and progress monitoring
Experience with delay analysis, recovery planning and EOT claims
Good understanding of project controls and construction project lifecycle
Experience working with contractors and/or consultancy companies is highly preferred
Strong analytical, reporting and stakeholder management skills
Professional working proficiency in English
Benefits
Competitive salary;
Official UAE employment status;
Comprehensive medical insurance coverage;
Working schedule 6 days per week from Monday to Saturday and Sunday is off.
Location: Overland Park, KS; Springfield, MO
Company Description
We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company.
We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us.
Job Description
Join our Water Resources team at Olsson, a leading engineering firm actively seeking a dedicated Experienced Civil Engineer. The Water Resources team offers its clients a full spectrum of water services, including a complete line of planning, design, permitting, and construction phase services. This position assists with generating ideas and creating designs that provide purposeful, high-quality solutions to successfully solve engineering and design needs.
Be part of a team that values your contribution, encourages growth, and is committed to your career development. Join us in making a lasting, positive impact on communities through innovative water resources engineering solutions.
Primary Responsibilities:
Perform various tasks, immersing you in practical experience and exposure to diverse engineering facets, methods, and programs
Execute precise technical engineering calculations
Develop hydrologic and hydraulic models for floodplain modeling and mapping
Engage in design and management tasks for stormwater projects, including channel stabilization/restoration, storm drain systems, culverts, and water quality features
Coordinate with project managers and project teams to achieve project objectives
Innovate and introduce new ideas to projects, showcasing your creativity and initiative
We have one current opening and will consider candidates interested in working a hybrid schedule out of our Overland Park, KS or Springfield, MO office locations.
Qualifications
You are passionate about:
Working collaboratively with others
Having ownership in the work you do
Using your talents to positively affect communities
Developing your career in Water Resources engineering
You bring to the team:
Strong communication skills
Ability to contribute and work well with a team
Bachelor’s degree in civil engineering, environmental engineering, or a related field of study
Must possess Engineer Intern (EI) or (IE) certificate
Minimum of two years of experience
Proficiency in Civil 3D and HEC-RAS modeling software
Exceptional problem-solving skills
#LI-AA1 #LI-Hybrid
Additional Information
Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come.
As an Olsson employee, you will:
Receive a competitive 401(k) match
Be empowered to build your career with tailored development paths
Have the possibility for flexible work arrangements
Engage in work that has a positive impact on communities
Participate in a wellness program promoting balanced lifestyles
In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance.
Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status.
Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices.
For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice
here
.
seniorNYC, Remote; San Francisco, California
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
The role is based in London, UK and requires significant in-office presence
УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
УдалённоseniorUnited States
УдалённоСША; candidates interested in being located out of any Olsson office location, hybrid, or fully remote in various locations of the US
Colorado Springs, CO; Dallas, TX; Denver, CO; Des Moines, IA; Fayetteville, AR; Fort Worth, TX; Kansas City, MO; Lincoln, NE; Little Rock, AR; Loveland, CO; North Kansas City, MO; Oklahoma City, OK; Omaha, NE; Overland Park, KS; Phoenix, AZ; Springfield, MO; St. Louis, MO; Tulsa, OK; candidates interested in being located out of any Olsson office location, hybrid, or fully remote in various locations of the US
УдалённоseniorRemote - United States
seniorNew York, NY or Remote
УдалённоseniorUkraine; Azerbaijan
ОфисSouth Korea
УдалённоBelgrade; Analytics Engineer (remote from GMT-7 to GMT+4 timezones)
Relocation support
Experience managing managers or teams distributed across regions and time zones
США; We have one current opening and will consider candidates interested in working a hybrid schedule out of our Overland Park, KS or Springfield, MO office locations
Автоотклики