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
.
This role is fully remote. Reddit has a flexible first workforce
The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.
We are looking for a Senior Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.
This is a highly technical role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization.
What you’ll do:
Lead Reliability Engineering for User Experience
Drive projects to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences.
Architect for Scale
Partner with product and infrastructure engineering teams to ensure Reddit is highly available and performant under massive global load. Lead initiatives to improve redundancy, graceful degradation, traffic management, and capacity planning.
Reduce Operational Risk
Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Build proactive mitigation strategies and drive engineering improvements that reduce incidents and improve service health.
Build Automated Solutions
Eliminate repetitive operational work through automation and tooling. Build systems that improve deployment safety, incident response, remediation workflows, and reliability guardrails.
Drive Adoption of Engineering Standards
Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.
Mentor and Multiply Impact
Provide technical leadership and mentorship to engineers across SRE and software engineering teams. Help shape reliability culture and raise the operational excellence bar across the organization.
What We’re Looking For
5+
years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large-scale distributed systems.
Strong experience supporting high traffic, user-facing production environments.
Deep understanding of one or more: distributed systems, networking, Linux systems, cloud native architectures.
Strong programming skills in languages such as Go, Python, or similar.
Strong understanding of observability systems including metrics, logging, tracing, and alerting.
Experience improving reliability through SLOs, automation, incident management, and performance optimization.
Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services.
Strong collaboration and communication skills with the ability to influence technical direction across teams.
Nice to Have
Experience designing highly-available systems with strong operational and reliability practices.
Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
Contributions to open source software or participation in technical communities.
Experience leading large scale incident response and operational transformation initiatives.
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:
$190,800
—
$267,100 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: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings.
This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day.
This is a full-time position based out of our
Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud.
Develop, maintain, and test code.
Conduct design and code reviews.
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Participate periodically in on-call rotation.
Make Fivetran the most reliable and secure component of our customers’ data infrastructure.
Skills We’re Looking For
Bachelor's degree, preferably in Software Engineering or Computer Science.
3+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Demonstrated ability to write well-structured and performant code.
Ability to lead software and infrastructure design to satisfy project requirements.
Experience in code reviews, design, troubleshooting and testing.
Experience programming in an object oriented / systems language such as Java, C++, C# etc.
Experience interacting with continuous integration tools like Buidkite.
Knowledge of observability tools like New Relic/Grafana is a plus.
Knowledge of Data Engineering is a plus.
Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation.
Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts.
Bonus Skills
Hands-on experience working with any cloud technologies (AWS, GCP, Azure) and containerization methodologies like Docker, K8s.
Experience in data processing (ETL, ELT) and/or cloud-based platforms.
#LI-HYBRID #LI-DC2
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$140,592
—
$168,717.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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 location:
Singapore
Cloudflare is one of the most dynamic and innovative companies providing services on the Internet. Regulation of the Internet is exploding -- across a number of subject areas and jurisdictions -- at a rate previously unseen in the history of the Internet. We’re looking for a new team member who can help foster and promote our corporate philosophy and approach, in which the security and privacy of our customers are paramount.
We are looking for an exceptionally talented and energetic person to join our Public Policy team in Singapore, with a strong background in India policy. You will work on some of the most complicated and rapidly evolving policy issues in the world, such as content moderation, user privacy, and intermediary liability, and you’ll help us develop and communicate real-world solutions to addressing these challenges. You will also build and run programs that further Cloudflare’s reputation and standing in the region by partnering with governments, trade bodies, and civil society organisations. This person has a deep understanding of technology as well as regulatory environments. The ideal candidate can seamlessly go from a technical conversation with engineers to a high-level discussion with regulators and policymakers regarding where Cloudflare fits in the Internet stack. This person should be an expert at presenting technical topics at a level any audience will be able to understand.
This role has non-standard working hours.
Responsibilities
Engage with policymakers, regulators, trade associations, industry partners, civil society groups and others in India and across the APJC region, to educate stakeholders on Cloudflare’s trust & safety processes and policy positions.
Lead programs and advocacy campaigns that showcase our policy principles to demonstrate what a better Internet looks like in practice.
Develop talking points, policy narratives and presentation materials for use at external events and meetings and for other communication purposes (company blog, position papers, etc.).
Coordinate with cross-functional teams to address government and law enforcement requests, as appropriate.
Provide timely updates to colleagues from the Cloudflare Public Policy, Legal, Trust & Safety Teams and other internal stakeholders.
Minimum Qualification
Bachelor’s degree or preferably master's degree in public policy, law, economics
8+ years of related experience handling law enforcement matters at a large technology company and experience handling public policy issues.
Strong understanding of the Indian political, regulatory and legal system and protocols, particularly as they relate to digital services.
Experience in designing, running, and managing stakeholder, community, or partnership programs and events (for example, workshops, hackathons, or training programs)
Ability and willingness to work off hours, including weekends and holidays, to support emergency matters and interact with globally-based company employees
Right to work in Singapore, or eligibility and willingness to relocate to Singapore
Ability to analyze technical data and present to a less technical audience
An ambitious mindset that enables you to successfully work independently with little guidance, but also to use good judgment and escalate / call out issues when needed.
A sense of humor.
Preferred Qualification
Knowledge of Cloudflare products and the broader technology industry, including security, networking, Zero Trust, and AI services.
Experience in reviewing, processing, and tracking legal documents, particularly in India (e.g., civil and criminal subpoenas, court orders, and search warrants, and legal notices under Indian law)
Willingness to travel to India and elsewhere in the region.
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: Auckland
Workplace: OnSite
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
At Halter, we're on a mission to enable farmers and graziers to run the most productive and sustainable operations in the world. Our customers use Halter to break free from the time-intensive constraints of conventional farming. Imagine 500 cattle standing up and walking calmly to their next break. No quad bikes, no dogs, no fences, just a herd moving at its own pace. People say it looks like magic. Underneath it is a fleet of tens of 1 million (and growing rapidly) collars, each one a small physical system balancing power, radios, sensors and firmware, all operating on a live animal, in the real world, at scale.
ABOUT THE ROLE
We're looking for a Device Systems Engineer to help guide the development of our devices to extract the absolute best performance for our customers. This is a role for someone who wants to build a genuinely deep understanding of the product in the wild: where power gets spent, where the physical world doesn't match the assumptions in the design, and where there's real headroom to do better. You'll spend your time in the data, but the point isn't the data itself. It's the insight it gives you into a physical system, and the improvements you can drive because of it.
This role sits at the intersection of firmware, hardware, comms and data. You'll need to be equally comfortable wrangling a massive, noisy, real-world dataset and reasoning from first principles about what a sensor or a radio can and can't actually do. And critically, you won't just hand off a finding. You'll see it through: forming the hypothesis, proving it in data, working out what to change, and following it into production.
Our team out-thinks, out-works and out-cares. We're committed to delivering real change in the world. This isn't easy, and honestly, we love that it's hard.
WHAT YOU'LL BE DOING
- Analyse collar performance at fleet scale: power consumption, battery life, GPS and sensor behaviour, across tens of millions of devices operating in wildly different real-world conditions.
- Build a deep, ground-truth understanding of how the product is actually used on farm, and how that differs from how we assumed it would be used when we designed it.
- Wrangle large, messy, real-world datasets (fleet telemetry, logs, field data) to find the signal in the noise, and know the difference between a genuine effect and a data quality artefact.
- Reason from first principles about the physical limitations of sensors, radios and batteries, so you can tell when a performance gap is a physics problem, a firmware problem, or a usage pattern problem.
- Bring your ground-truth understanding of real-world device performance into the scoping and design of new products and hardware revisions. Your view of what actually happens in the field, not just what happens on the bench, will be critical to the whole team arriving at the best possible product.
- Communicate findings clearly to firmware, hardware and product teams, translating deep technical analysis into something people can actually act on and prioritise.
- See improvements through from insight to production: working with engineering teams to implement, validate and confirm the change actually delivered what the data said it would.
WHAT YOU'LL BRING
- Deep curiosity about how things actually work, and the patience to dig until you genuinely understand it.
- Genuine first-principles thinking. You default to reasoning about a system from how it actually works physically, rather than pattern-matching to what usually works.
- A bias to ownership and follow-through. You're not satisfied with an interesting finding; you want to see it become a real improvement in the fleet.
- An engineering science, physics, or similarly quantitative technical background, with a track record of applying it to real, messy, physical-world problems.
- Strong data analysis skills; comfortable working with large real-world datasets in Python or similar, including cleaning, filtering and validating noisy data before trusting any conclusion drawn from it.
- Strong communication skills, able to explain technical findings clearly to engineers across disciplines and get people aligned on what to do about it.
BONUS POINTS FOR
- Genuine curiosity about farming, animal welfare, or hardware that has to survive outdoors, unattended, on a live animal. We can teach the domain, but the curiosity has to be there already.
- Experience in statistics, or applied maths.
- Experience working on optimisation problems, not just analysing from the outside.
Halter is committed to promoting a diverse and inclusive workplace, a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented candidates tend to only apply when they meet every single one. If you think you've got what it takes but don't tick every box here, get in touch anyway. We'd love to chat and see if you'll be an epic fit.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: Los Angeles, United States
Keller Executive Search is recruiting a Business Operations Manager for a client seeking hands-on leadership of day-to-day operations. This role combines team management, resource planning and continuous improvement to support consistent, efficient execution.
You will translate operational priorities into practical plans, strengthen processes and help teams deliver measurable results. The opportunity suits a leader who enjoys collaborating across functions, using performance data and staying close to daily execution.
They are looking for a practical, accountable leader who balances daily execution with longer-term improvement. You communicate clearly, develop team capability and use sound judgment and data to address problems. You bring structure without unnecessary complexity and collaborate effectively across functions.
Key Responsibilities
Manage daily operations, aligning workloads, staffing and resources with business priorities.
Lead, coach and support team members, setting clear expectations and accountability.
Track operational performance indicators and implement actions to improve quality, productivity and service.
Document and refine procedures to support consistent execution and effective handoffs.
Monitor operating expenses and resource utilization against agreed budgets.
Coordinate with cross-functional colleagues to resolve issues and meet operational commitments.
Support adherence to applicable workplace safety requirements, policies and operating standards.
Report operational results, risks and improvement recommendations to leadership.
Requirements
Essential
Bachelor's degree in business, operations management or a related discipline, or equivalent practical experience.
At least 5 years of experience in operations or closely related business functions.
At least 2 years of direct team management experience.
Demonstrated experience improving operational processes and measuring results.
Experience monitoring performance indicators and using data to guide decisions.
Experience managing operating budgets or tracking expenses and resource utilization.
Strong communication, planning and cross-functional problem-solving skills.
Proficiency with spreadsheets and business reporting tools.
Ability to work fully onsite at the role's location.
Preferred
Familiarity with structured continuous improvement methods.
Experience developing operating procedures and supporting process or system changes.
Benefits
Base salary of $120,000-150,000
Annual bonus as part of the variable compensation package.
Healthcare coverage including medical, dental and vision insurance.
Life insurance coverage.
401(k) retirement plan
Agency statement
Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes.
To learn more about the firm and about our candidate services - please visit
our website
Equal Opportunity policy
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity Statement:
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status.
Commitment to Diversity:
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected.
Reasonable Accommodations:
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information:
For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location.
Compliance with Laws:
Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment:
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
E-Verify Participation:
Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable.
Privacy and Pay Equity:
California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
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Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available.
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws.
State-Specific Information:
Rhode Island: We do not request or require salary history from applicants.
Connecticut: We provide wage range information upon request or before discussing compensation.
New Jersey: We do not inquire about salary history unless voluntarily disclosed.
Veteran Status:
Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information:
In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws:
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.
Location: Chicago, United States
Keller Executive Search is partnering with a property and casualty insurance company to appoint a Chief Revenue Officer reporting directly to the CEO. This executive will own the enterprise growth agenda, aligning sales and distribution, customer experience and marketing around clear strategic choices and accountable execution. In a market where growth depends on distribution effectiveness, retention and capital capacity, this is an opportunity to shape how the business competes and reaches customers.
The mandate is to originate growth, not simply administer an existing commercial plan. You will develop an independent view of customer needs, distributor priorities, product opportunities and market expansion, then translate that insight into genuinely new routes to market. The role combines enterprise-level influence with hands-on execution: designing distribution models, testing their economics and building the leadership capability to deliver them.
As a growth partner to the CEO and business unit leaders, you will bring decision-ready recommendations, challenge assumptions constructively and influence investment choices while respecting business units' ownership of products, underwriting and financial results.
Key Responsibilities
Originate and execute enterprise growth strategy across channels, partnerships, product opportunities and markets.
Design and pilot new distribution models with clear customer value, economics and execution plans.
Own integrated growth execution across sales and distribution, customer experience and marketing.
Establish a growth scorecard covering revenue, retention, business mix and acquisition economics.
Diagnose growth data and distribution economics to shape immediate priorities and a soft-market response.
Translate customer and distributor insights into market sizing, positioning and investment recommendations.
Partner with business unit leaders while respecting their product, underwriting and P&L ownership.
Develop commercial partnerships and support corporate development with acquisition growth theses and assigned post-close revenue outcomes.
Assess leadership capabilities and recruit and retain a strong head of marketing within the first year.
Redesign revenue workflows using AI, measuring effectiveness and addressing practical limitations.
Bring framed decisions and constructive challenge to the CEO, then lead execution through senior functional leaders.
Additional Information
Permanent position in Cincinnati, OH; Mountain View, CA; or Chicago, IL.
Requirements
Personally authored and executed an enterprise or substantial business-unit growth strategy with attributable, measurable impact.
Led channel and distribution strategy at meaningful scale, including channel choices, partner economics and implementation.
Ability to originate an executable new distribution model beyond existing-channel optimization.
Independent executive judgment, constructive challenge and active execution through strong leaders.
An evidence-based point of view on customers, distributors, products and markets.
Ability to attract and retain senior marketing talent and build an integrated growth organization.
Practical AI fluency that can reshape revenue work, demonstrated through operating examples or a credible applied approach.
Entrepreneurial drive, timely decision-making and collaborative leadership; readiness to own integrated growth outcomes.
Bachelor's degree and English proficiency sufficient for complex executive communication.
Commitment to in-office leadership, permanent relocation if needed, and ability to take the role without employer-provided immigration sponsorship.
Preferred
Growth leadership in catastrophe-exposed property insurance, broader P&C insurance or an adjacent capital-constrained, regulated risk business.
Applied knowledge of catastrophe-property economics, reinsurance, alternative capital or regulated coastal markets.
Revenue-generating ecosystem partnerships or growth-side M&A experience with realized commercial outcomes.
Prior accountability for revenue, retention, mix and acquisition cost; customer experience leadership tied to growth.
Experience building a growth function, leading business-model reinvention or protecting growth economics through a softening pricing cycle.
Benefits
Annual base salary of USD $300,000 to $520000
Annual bonus target plus a long-term incentive plan.
Healthcare coverage from day one; 401(k) eligibility after 90 days.
Flexible time off and wellness stipends.
Relocation assistance.
Agency statement
Keller is a recruitment agency serving clients from startups and non profits to multinational corporations, emphasizing ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. Learn more about the firm and our candidate services on
our website
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Equal Opportunity policy
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity:
Keller Executive Search and our clients are Equal Opportunity Employers. Qualified applicants receive consideration without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status.
Commitment to Diversity:
We and our clients foster a diverse, inclusive work environment where all individuals are valued and respected.
Reasonable Accommodations:
We provide reasonable accommodations to individuals with disabilities and pregnant individuals, determined through an interactive process.
Compensation Information:
For client positions, compensation is listed in the job post or shared during the interview process per applicable law; salary ranges are included where legally required. Actual salary may depend on skills, experience, and comparison to current employees in similar roles, and ranges may vary by role and location.
Compliance with Laws:
We and our clients comply with federal, state, and local nondiscrimination laws across all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment:
Harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status is expressly prohibited.
E-Verify Participation:
Keller Executive Search and/or our clients may participate in E-Verify; details will be provided during the application process where applicable.
Privacy and Pay Equity:
California Residents: See our Privacy Policy at
www.kellerexecutivesearch.com
for the categories of personal information collected for recruiting and employment purposes.
Colorado, Nevada, New York City, California, and Washington Residents: Compensation is listed in the job post or provided during the interview process.
We and our clients are committed to pay equity and conduct periodic pay equity analyses per applicable laws.
State-Specific Information:
Rhode Island: We do not request or require salary history.
Connecticut: We provide wage range information upon request or before discussing compensation.
New Jersey: We do not inquire about salary history unless voluntarily disclosed.
Veteran Status:
We and our clients provide equal opportunities to veterans and comply with applicable state veteran preference laws. Veterans, please inform us during the application process.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use AI tools solely to support human decision-making by helping review and assess candidate qualifications and materials. AI never automatically rejects, disqualifies, or makes final hiring decisions; all AI-assisted evaluations are reviewed by experienced recruitment professionals, and qualified human recruiters make all hiring decisions. Our AI use aims to enhance fairness, consistency, and efficiency while upholding equal opportunity and non-discrimination principles.
Genetic Information:
Per federal and state law, we and our clients do not discriminate based on genetic information or request or require it from applicants or employees, except as permitted by law.
Local Laws:
We and our clients comply with all applicable local employment laws and ordinances where we operate.
Note:
This posting may be for a position with Keller Executive Search or one of our clients; the employer will be identified during the application and interview process. Employment laws and requirements may vary by employer and location.
Location: Warrington, United Kingdom
We are partnering with an established organisation in the logistics and supply chain sector to appoint a UK Chief Executive Officer.
This is a senior executive opportunity offering responsibility for the strategic direction, commercial development and overall performance of an established UK operation.
The successful candidate will lead an experienced management team, strengthen commercial capabilities and drive sustainable, profitable growth across the business.
The position offers significant autonomy, executive-level influence and the opportunity to shape the next phase of the organisation's development.
Key responsibilities
Develop and execute a clear UK business strategy focused on sustainable revenue growth, profitability and operational performance.
Lead, develop and strengthen the senior leadership team, establishing clear accountability and performance expectations.
Evaluate and enhance the organisation's commercial capabilities, including business development, sales strategy and key account management.
Identify and secure new business opportunities, developing long-term customer partnerships and expanding existing relationships.
Strengthen customer retention, commercial performance and operational efficiency.
Identify opportunities to enhance service offerings and strengthen the organisation's competitive position.
Collaborate with senior stakeholders to align commercial priorities and business objectives.
Foster a high-performance culture built on accountability, collaboration, integrity and continuous improvement.
Requirements
Relevant degree or equivalent professional experience. Additional executive qualifications are advantageous.
Proven senior leadership experience within UK contract logistics, third-party logistics or a closely related supply chain environment.
Demonstrated success in delivering profitable growth, with substantial P&L accountability.
Strong commercial acumen and an established network within the UK logistics market.
Experience securing, retaining and expanding significant customer contracts.
Sufficient operational expertise to provide effective oversight and strategic direction.
Currently operating at CEO, Managing Director, COO or senior divisional leadership level.
An entrepreneurial, commercially driven leadership style, with the ability to balance strategic direction and hands-on execution.
Strong people leadership skills, with experience developing management teams and driving organisational performance.
Benefits
Competitive salary range of GBP 200-300k
Performance based incentive program
Pension and health benefits provided
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity Statement
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, nationality, age, disability, genetic information, or any other characteristic protected under EU law and the laws of the respective EU member states.
Commitment to Diversity
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. We recognize and celebrate the cultural diversity across EU member states.
Reasonable Accommodations
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities, in accordance with EU Directive 2000/78/EC and national laws of EU member states. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information
For client positions, compensation information will be provided in accordance with applicable EU and national laws. When required by law, salary information will be included in job postings or provided during the recruitment process. We are committed to pay transparency and equal pay for equal work, in line with EU Directive 2006/54/EC and national laws on pay equity.
Compliance with Laws
Both Keller Executive Search and our clients comply with EU laws, directives, and regulations, as well as national laws of EU member states governing non-discrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on any protected characteristic under EU law and the laws of EU member states. This includes, but is not limited to, harassment based on race, ethnic origin, religion, sex, sexual orientation, gender identity or expression, nationality, age, disability, or genetic information.
Data Protection and Privacy
We process personal data in compliance with the General Data Protection Regulation (GDPR) and applicable national data protection laws. For more information about how we collect and process personal data for recruitment and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
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Pay Equity
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable EU and national laws.
Working Time and Leave
We comply with EU Directive 2003/88/EC concerning certain aspects of the organization of working time, as well as national laws of EU member states regarding working hours, rest periods, and leave entitlements.
Health and Safety
We are committed to providing a safe and healthy work environment in accordance with EU Framework Directive 89/391/EEC on Safety and Health at Work and relevant national laws of EU member states.
Works Councils and Employee Representation
We respect the rights of employees to form and join works councils and other forms of employee representation in accordance with EU Directive 2009/38/EC and national laws of EU member states.
Country-Specific Declarations
While this policy provides a general framework applicable across the EU, it's important to note that specific employment laws can vary significantly between EU member states. To ensure full compliance with local regulations, we make the following provisions:
1. Local Law Compliance: In addition to EU-wide regulations, we comply with all national laws and regulations of the specific EU member state where the employment takes place.
2. Country-Specific Addenda: For each EU country where we operate, we maintain country-specific addenda to this policy. These addenda outline any additional requirements, protections, or procedures mandated by national law that go beyond or differ from EU-wide standards.
3. Language Requirements: In countries where local law requires that employment policies be provided in the local language, we will make available a properly translated version of this policy and its country-specific addendum.
4. Notification of Applicable Laws: During the recruitment process, candidates will be informed of the specific national laws that apply to their potential employment, in addition to EU-wide regulations.
5. Regular Updates: We commit to regularly reviewing and updating our country-specific addenda to reflect any changes in national employment laws.
6. Precedence of National Law: Where national law provides greater protection or additional rights to employees beyond what is outlined in this general EU policy, the national law will take precedence.
7. Specific Declarations: Where required by national law, we will make specific declarations regarding matters such as:
o Pay transparency and gender pay gap reporting
o Working time arrangements
o Collective bargaining agreements
o Data protection and privacy measures
o Whistleblower protection mechanisms
o Any quota systems for underrepresented groups in employment
8. Access to Information: Employees and candidates can request information about the country-specific policies applicable to their employment or potential employment by contacting
assistance@kellerexecutivesearch.com
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Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information
In accordance with EU and national laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate within the EU.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location within the EU.
Location: Brazil; Argentina
We are looking for a
Commercial & Pricing Analyst.
In this role, you will work daily with sales dynamics and margin performance across markets, suppliers, and partners. It is not just about reviewing numbers — it is about understanding what stands behind them: which processes, decisions, and business factors drive the trends. You will identify the root causes of performance changes, develop well-reasoned recommendations within existing pricing models, and support their implementation together with the commercial team. This position requires a data-driven mindset, confidence in working with large data sets, and the ability to structure information and make balanced decisions. The role involves a high level of autonomy and personal responsibility for the accuracy of conclusions and their financial impact on the business.
This is a remote position open to candidates based in GMT-1 to GMT-3 time zones, with the working day starting at 9:00 or 10:00 local time, or in GMT+0, with the working day starting at 11:00 or 12:00 local time.
Monitor daily sales dynamics across multiple segments: brand, country, supplier, key company partners, suppliers, and business lines.
Analyze multiple core metrics in combination to get a comprehensive picture.
Work confidently with large datasets; identify key events and business changes behind the numbers and graphs.
Deeply immerse yourself in business processes and identify root causes for metric changes.
Develop solutions that drive positive trend-level changes.
Collaborate with other teams to implement agreed-upon decisions, provide well-reasoned justification for proposed measures, build action plans, and monitor results.
Present results clearly using charts and numbers.
Defend the company’s interests and provide well-reasoned refusals under pressure, when required.
Communicate daily with the commercial team, dive into the specifics of each market, collect feedback, structure and aggregate received information, and present it in summary form.
Ensure the quality of collected data, clarify and verify suspicious or potentially inaccurate information with related teams.
Process internal requests regarding price discrepancies with competitors, verify data accuracy, make pricing decisions, and issue discounts.
Requirements
1–3 years of experience in analytics, pricing, revenue management, commercial analytics, or related functions.
Previous experience in B2B travel pricing for partners, excluding hotel pricing, is highly desirable.
English proficiency at B2 (Upper-Intermediate) level or higher (both spoken and written).
Strong analytical skills: ability to work with multiple metrics and analytical tools simultaneously, understand business processes behind the numbers, pay close attention to details and identify root causes of changes.
Advanced Excel skills (cubes, pivot tables, complex formulas, charts).
Basic SQL skills: ability to read and modify existing queries, write simple queries to extract data from multiple tables.
Experience working with large data sets, high attention to detail, and structured/systematic thinking.
Experience with BI tools is a plus.
Benefits
Flexible schedules and the opportunity to work remotely.
An ambitious and supportive team who love what they do, appreciate each other, and grow together.
Internal programs for onboarding and training, development of soft skills and leadership abilities.
Partial compensation for participation in external training and conferences.
Corporate English school: group and individual lessons, speaking clubs with colleagues from all over the world.
Corporate rates on hotels and travel services.
MyTime Day Off – an extra non-working day with full compensation.
Learn more about our data protection practices in our Privacy Policy:
https://emergingtravel.notion.site/recruitment-privacy-notice
Location: Abu Dhabi, United Arab Emirates
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivaled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
Diversity & Inclusion
EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.
Accountabilities:
Accountable for the financial control of assigned projects, working hand-in-hand with the Project Manager to secure and enhance the “As Mobilised” forecast Gross Profit of the project and outperforming the “As Mobilised” forecast cash curve if applicable.
Provide clear visibility and control of project working capital including, Accrued Income, Account Receivables, WIP, GRNI and Accounts Payable.
Prior to project mobilization:
Working with the Project Manager, ensure that there is a clear understanding of key contractual terms and that all assumptions and constraints in the “As Bid” forecast Gross Profit are well understood.
Ensure a clear understanding of the split of the budget elements between internal and external labour required to deliver the project scope by supporting the Project Manager in resource planning.
Ensure that the project team has obtained clear line of sight of own equipment v hired-in / purchased equipment required to deliver the customer requirements identified.
Ensure that key logistic requirements and consumables have been appropriately identified, so that the costs can be reliably forecast in the “As Mobilised” forecast Gross Profit.
Verify project revenue and cost baseline and ensure that any differences between the “As Bid” and “As-Mobilised” forecast Gross Profit are submitted to the Business Line VP for approval and sign-off.
Ensure the creation of the customer sales order in Navision with the approved WBS structure and ensure that a detailed revenue & cost budget along with all relevant milestones if applicable are correctly input.
Ensure the creation of Job Code in Navision with the approved WBS tasks and ensure the management of active(live) job codes in line with the phased execution of the project.
Ensure that the “As Mobilised” phased revenue and cost forecast is taken on into Mercury and BFT at the required level of granularity, reconciled to the approved budget baseline, before the project is released into execution.
Ensure that all timesheets and purchases are timely and correctly recorded on the project throughout the project execution phase.
Work with the Project Manager and Invoicing Coordinators to ensure the timely approval and invoicing of all work completed in line with contractual requirements / milestones and manage the prioritisation of invoicing where a factor is used.
Ensure that the Project Manager’s signs-off monthly project performance including key KPI's, working capital, GP performance, project CAC and cashflow forecast if applicable.
Accountable for the integrity of the project forecast held in Mercur and BFT throughout the project lifecycle, ensuring that at all times it reflects the agreed scope, the current execution schedule and the latest assessment of risks and opportunities.
Accountable for a single, reconciled version of the forecast, ensuring that the values held in Mercure and BFT agree, that Navision actuals reconcile to the forecast structure, and that any differences are identified, explained and resolved.
Ensure the effective financial close-out and archiving of project financial documentation.
Responsibilities
Monitor commitments and accruals and track contingencies, provisions and management reserves
Support the Project Manager in cost forecasting (EAC/ETC) and monitor project financial performance v budget & forecast, identify variances and establish root cause. Track customer PO cover and notify the Project Manager of potential breaches
Implement cost control measures agreed by Project Manager as necessary
Participate in deep-dive project reviews and analysis, supporting Finance Leadership and Project Managers with a clear view of forecast GP evolution verses previous forecast.
Work with business line teams to understand performance variances and coordinate with SSC to ensure accurate variance explanations in management reports.
Ensure correct rates are charged to the client in accordance with the SOR outlined in the contract or PO
During the monthly close:
Ensure that all previous month’s cost accruals are reversed and review and equipment off-hire has been processed as per schedule provided by the PM
Analyse timesheet reporting for completeness / coded and that contractor invoices align with timesheets
Review receipted PO’s (GRNI) reporting from the SSC and approve accruals
Review unposted supplier invoices reporting from the SSC and approve accruals, avoid double counting
Manage revenue recognition (accrued income), ensuring accurate and timely recording of income in accordance with FRS15, contract terms / milestones and group accounting standards and policies.
Approve accrued income / AR & WIP provisions and client bonus if applicable and request to SSC to process entries Maintain cost accruals for cost which has not been invoiced or receipted
Finalize GP analysis and prepare project KPI's incl. BS / Working Capital & follow-up reason for trends. Issue pack to PM by work day 3/4(EUR/AMEC) / work day 7/8(APAC/AMER)
Run GP reviews with Project and Operations Managers, capturing key discussion points and agreed amendments or corrections, either at a job or service line level, to ensure revenue and costs are aligned. Ensure that final adjustments are recorded by the SSC and submit final report to PM for sign-off.
Support the Business Line with the consolidation of projects for profitability reporting, conduct variance analysis, commentary and support the Business Line leads on query resolution.
For month end reporting, provide supporting commentary and analysis for review with Geography FDs. Identify and highlight financial trends, providing actionable insights to support decision-making.
Review regular Business Line/Service Line/Jobs profitability reports produced by SSC R2R team and support with query resolution related to the production of regular reports.
Assess financial impact of change orders and ensure the update of forecasts (CAC/GP) to reflect impacts.
Implement and monitor project-level financial controls. Support the Project Manager in identifying project risks with mitigations and opportunities with plans to crystalise them.
Support management decision making regarding risk and opportunity management by supporting in the probabilistic quantification of risks and opportunity impacts and ensuring the integration of impacts into the forecasts CAC/GP.
Support the SSC Collections team by providing input on collections. Ensure that the Project Manager prioritises invoices that may have significantly impact on accrued income and/or accounts receivable provisions
Ensure clarity regarding client disputes and support Geography FC and FD in challenging collections issues such as settlement negotiations.
Provide the FC and FD with supporting documentation required to manage bad debts accurately.
Process journal via the SSC R2R team, raising requests with supporting documentation, and reviewing/approving journals.
Maintain data integrity across systems, support gate reviews and audits, and ensure compliance with financial governance requirements.
Execute financial close-out including closing all job task numbers, delivering final invoices, cost reconciliation, reporting and archiving of all financial documentation.
Maintain comprehensive project financial documentation for audit, legal, and contractual purposes
Coordinate with internal and external auditors for project-related reviews and compliance checks
Raise risks and issues in service delivery to the SSC Leads.
Support service performance improvements, root cause analysis and removal of blockages in service delivery.
Review and manage any escalations or exceptions as raised by the SSC team, further escalating to Geography FC and FD as needed.
Support the financial controller in balance sheet reconciliation review, open items resolution, liaising with SSC to enable final sign-off and support action plan for unreconciled items.
Review and manage any escalations or exceptions as raised by the SSC team, further escalating to Geography FC and FD as needed
Support the financial controller in balance sheet reconciliation review, open items resolution, liaising with SSC to enable final sign-off and support action plan for unreconciled items.
Requirements
Experience Requirements
Essential:
Secondary education Higher qualifications
CA/CIMA equivalent
Previous experience in a business partnering role in a medium sized business
Wide knowledge of practical daily operations of an accounting team
Experience working with integrated ERP business management systems
Proficient in the use of Microsoft excel
Preferred:
Further education qualifications
Exposure to fast paced organizational change
Anticipated Skills
Technical Discipline Expertise
Experienced accountant with 3-5yrs experience in a project environment
Experience in the management of long-term contracts.
People & Communication
Conveys information fluently, interpreting and clarifying details and explaining rationale
Manage relationships with Project Managers, Operations and Procurement teams
Manage day to day relationships with team leads in the SSC, acting as a project point of contact
Problem Solving & Decision Making
Finds ways to condense large amounts of information into a useful form
Location: Russia; Belarus; Georgia; Armenia; Kazakhstan; Moldova
About the company
The company is a games publisher that licenses free-to-play mobile and browser games from international studios and brings them to players in Russia and the CIS. It already has a live portfolio, partnerships with major regional platforms, a release and operations team, and a steady flow of new titles to evaluate.
The company is looking for a Head of Publishing who will own publishing decisions and turn that flow of games into a profitable portfolio.
About the role
As Head of Publishing, you will decide which games the company takes on, build the economics behind every title, and make sure each game delivers a financial result. The role comes with real autonomy: leadership sets the goals, and you own the decisions and the plan to get there.
Responsibilities
Review a steady flow of games across genres and make fast, well-reasoned go / test / no-go decisions
Build a financial model and P&L for every title: investment, payback period, revenue forecast
Negotiate licensing deals with developers and take them all the way to signature
Oversee user acquisition through the company's UA agency and partners, and make sure campaigns pay back
Work with regional platforms and app stores on launches and commercial terms
Set priorities for the release, operations and scouting teams; define processes and responsibilities
Identify gaps in the team and plan the next hires
Report regularly to the company's leadership: current financial position and the plan for the next 1, 3 and 6 months
Requirements
3+ years in publishing of F2P mobile and/or browser games as a Publishing Producer, Producer, Product Lead, Publishing Manager or Head of Studio (management side), with ownership of results
Hands-on experience building financial models and game P&Ls in Excel / Google Sheets, and the ability to explain and defend your assumptions
Strong command of game metrics: retention, ARPU / ARPPU, LTV, ROAS, cohorts, payback
Experience evaluating many games across different genres and making go / no-go decisions
Track record of negotiating and closing deals with game developers
Solid understanding of UA unit economics and experience working with UA teams or agencies
Good knowledge of the Russian games market and what works for local players
Experience managing people or cross-functional processes
Working English for calls and correspondence with international partners
Fluent Russian
Based in Russia, or able to travel to Russia regularly
Makes decisions quickly, takes ownership of them and comes to meetings with checked numbers
Finds solutions when budgets are limited
Nice to have
Experience with regional platforms and stores: RuStore, VK Play, VK Games, Yandex Games, OK Games
Experience publishing licensed games from Asian developers
Experience at a publisher with a large and diverse portfolio
Startup or small-team experience, wearing multiple hats
Plays games personally
Benefits
Full ownership of publishing decisions without micromanagement
Competitive fixed compensation plus a performance-based bonus
Fully remote work
A steady pipeline of new titles from international studios
The opportunity to build the publishing function and team
Fast decision-making: days, not months
Location: United States; Canada; Australia; New Zealand; United Kingdom
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges.
This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions.
We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures.
Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities.
Previous experience in AI model training is not required.
LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC
WORKLOAD: Approximately 15 hours per week.
SCHEDULE: Flexible; choose your working days and hours, including weekends.
COMPENSATION: Output-based, with payment per task that meets project specifications.
PROJECT: AI training focused on real-world hardware engineering problems.
AI CODING AGENT EXPERIENCE: Mandatory.
Key Responsibilities
Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios.
Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods.
Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving.
Use programming and engineering software to model, simulate, analyze, and validate hardware systems.
Develop Python scripts and other computational tools to automate engineering calculations and validation workflows.
Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints.
Validate engineering models and simulation results against experimental or physical test data.
Develop and apply verification and testing methodologies.
Investigate complex hardware failures, identify root causes, and recommend corrective actions.
Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving.
Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable.
Requirements
Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline.
Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Demonstrated ownership of substantial engineering work, such as:
Taking a hardware product or subsystem into production.
Validating engineering models against physical testing.
Developing engineering test or verification systems.
Diagnosing and resolving complex hardware failures.
Mandatory hands-on experience working with AI Coding Agents.
Strong practical programming skills and the ability to independently write, understand, debug, and execute code.
Experience using programming languages or engineering tools relevant to hardware development and analysis.
Ability to connect first-principles engineering knowledge with practical design and operational constraints.
Strong quantitative, analytical, and technical reasoning skills.
Ability to produce clear, technically accurate, and independently verifiable engineering solutions.
Strong written and spoken English communication skills.
Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges.
This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions.
We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures.
Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities.
Previous experience in AI model training is not required.
LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC
WORKLOAD: Approximately 15 hours per week.
SCHEDULE: Flexible; choose your working days and hours, including weekends.
COMPENSATION: Output-based, with payment per task that meets project specifications.
PROJECT: AI training focused on real-world hardware engineering problems.
AI CODING AGENT EXPERIENCE: Mandatory.
Key Responsibilities
Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios.
Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods.
Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving.
Use programming and engineering software to model, simulate, analyze, and validate hardware systems.
Develop Python scripts and other computational tools to automate engineering calculations and validation workflows.
Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints.
Validate engineering models and simulation results against experimental or physical test data.
Develop and apply verification and testing methodologies.
Investigate complex hardware failures, identify root causes, and recommend corrective actions.
Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving.
Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable.
Requirements
Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline.
Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Demonstrated ownership of substantial engineering work, such as:
Taking a hardware product or subsystem into production.
Validating engineering models against physical testing.
Developing engineering test or verification systems.
Diagnosing and resolving complex hardware failures.
Mandatory hands-on experience working with AI Coding Agents.
Strong practical programming skills and the ability to independently write, understand, debug, and execute code.
Experience using programming languages or engineering tools relevant to hardware development and analysis.
Ability to connect first-principles engineering knowledge with practical design and operational constraints.
Strong quantitative, analytical, and technical reasoning skills.
Ability to produce clear, technically accurate, and independently verifiable engineering solutions.
Strong written and spoken English communication skills.
Location: United States; Canada; New Zealand; Australia; United Kingdom
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code.
We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability.
LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC
COMMITMENT: Approximately 15 hours per week
SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred.
COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary.
Key Responsibilities
Create and solve technically rigorous scientific problems within your area of specialization.
Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
Analyze and interpret biological or biomedical datasets using appropriate computational methods.
Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
Apply relevant statistical and computational techniques to validate research findings.
Document methodologies, assumptions, and solutions in a clear and structured manner.
Requirements
Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
Ability to independently write, understand, debug, and validate Python code.
Experience working with scientific or biological datasets and interpreting computational results.
Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
Excellent written English and the ability to communicate complex scientific concepts clearly.
Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code.
We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability.
LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC
COMMITMENT: Approximately 15 hours per week
SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred.
COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary.
Key Responsibilities
Create and solve technically rigorous scientific problems within your area of specialization.
Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
Analyze and interpret biological or biomedical datasets using appropriate computational methods.
Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
Apply relevant statistical and computational techniques to validate research findings.
Document methodologies, assumptions, and solutions in a clear and structured manner.
Requirements
Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
Ability to independently write, understand, debug, and validate Python code.
Experience working with scientific or biological datasets and interpreting computational results.
Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
Excellent written English and the ability to communicate complex scientific concepts clearly.
Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code.
We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability.
LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC
COMMITMENT: Approximately 15 hours per week
SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred.
COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary.
Key Responsibilities
Create and solve technically rigorous scientific problems within your area of specialization.
Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
Analyze and interpret biological or biomedical datasets using appropriate computational methods.
Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
Apply relevant statistical and computational techniques to validate research findings.
Document methodologies, assumptions, and solutions in a clear and structured manner.
Requirements
Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
Ability to independently write, understand, debug, and validate Python code.
Experience working with scientific or biological datasets and interpreting computational results.
Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
Excellent written English and the ability to communicate complex scientific concepts clearly.
Location: United States; Canada; Australia; New Zealand; United Kingdom
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are looking for accomplished Competitive Data Scientists, Machine Learning Engineers, and Applied Mathematics Specialists with a proven track record in data science competitions, particularly on Kaggle and similar platforms.
This opportunity is designed for candidates who have achieved at least Kaggle Expert ranking, including Masters and Grandmasters, and can demonstrate strong practical skills in machine learning, statistical modeling, quantitative reasoning, and programming.
You will use your competition experience to design challenging, reproducible technical tasks that require genuine problem-solving rather than plausible-looking answers. Your work will involve building execution environments, implementing verified reference solutions, developing reliable evaluation criteria, and testing how AI Coding Agents perform against complex data science challenges.
A verifiable Kaggle profile with Expert, Master, or Grandmaster ranking is a key qualification. Strong practical coding and debugging abilities are essential. Previous AI training experience is not required.
LOCATION:
Remote – US, Canada, Australia, New Zealand, UK
WORKLOAD:
Approximately 15 hours per week.
SCHEDULE:
Flexible; choose your working days and hours, including weekends.
PROJECT:
AI training focused on competitive data science, machine learning, and reproducible technical problem-solving.
AI EXPERIENCE:
Not required.
Key Responsibilities
Design challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios.
Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions.
Develop automated tests and evaluation criteria that distinguish correct solutions from incomplete, incorrect, or unreliable approaches.
Use coding agents to execute assigned tasks, investigate their failures, and evaluate their problem-solving capabilities.
Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness.
Apply competitive data science techniques and mathematical reasoning to validate solutions.
Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures.
Refine task difficulty and evaluation methods based on observed coding-agent performance.
Document task specifications, solution methodologies, technical reasoning, and verification steps.
Review and improve task quality to ensure scientific and computational accuracy.
Requirements
Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics.
Kaggle profile with at least Expert ranking (Master or Grandmaster ranking strongly valued).
Ability to provide a verifiable Kaggle profile demonstrating competition achievements and ranking.
Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving.
Practical programming ability, particularly in Python.
Ability to independently implement, test, debug, and verify data science solutions.
Experience working with datasets, computational environments, and relevant machine learning libraries.
Strong analytical reasoning and the ability to explain technical decisions.
Ability to identify data leakage, implementation flaws, and methodological errors.
Excellent written communication and technical documentation skills.
Professional English communication skills.
Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges.
This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions.
We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures.
Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities.
Previous experience in AI model training is not required.
LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC
WORKLOAD: Approximately 15 hours per week.
SCHEDULE: Flexible; choose your working days and hours, including weekends.
COMPENSATION: Output-based, with payment per task that meets project specifications.
PROJECT: AI training focused on real-world hardware engineering problems.
AI CODING AGENT EXPERIENCE: Mandatory.
Key Responsibilities
Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios.
Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods.
Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving.
Use programming and engineering software to model, simulate, analyze, and validate hardware systems.
Develop Python scripts and other computational tools to automate engineering calculations and validation workflows.
Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints.
Validate engineering models and simulation results against experimental or physical test data.
Develop and apply verification and testing methodologies.
Investigate complex hardware failures, identify root causes, and recommend corrective actions.
Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving.
Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable.
Requirements
Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline.
Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Demonstrated ownership of substantial engineering work, such as:
Taking a hardware product or subsystem into production.
Validating engineering models against physical testing.
Developing engineering test or verification systems.
Diagnosing and resolving complex hardware failures.
Mandatory hands-on experience working with AI Coding Agents.
Strong practical programming skills and the ability to independently write, understand, debug, and execute code.
Experience using programming languages or engineering tools relevant to hardware development and analysis.
Ability to connect first-principles engineering knowledge with practical design and operational constraints.
Strong quantitative, analytical, and technical reasoning skills.
Ability to produce clear, technically accurate, and independently verifiable engineering solutions.
Strong written and spoken English communication skills.
Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows.
This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows.
Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic.
Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions.
Previous AI experience is not required.
LOCATION:
Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC
WORKLOAD:
Approximately 15 hours per week.
SCHEDULE:
Flexible; choose your working days and hours, including weekends.
COMPENSATION MODEL:
Output-based, with payment per task that meets project specifications.
PROJECT:
AI training focused on aerodynamics, CFD, engineering simulation, and Python.
AI EXPERIENCE:
Not required.
Key Responsibilities
Solve and validate complex aerodynamic and fluid dynamics problems.
Translate physical engineering requirements into computational models and solver-ready cases.
Create or modify geometries, computational domains, and meshes.
Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools.
Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.
Develop scripts and computational workflows for engineering analysis.
Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics.
Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results.
Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations.
Document technical methodologies, engineering decisions, and simulation results.
Requirements
Candidates should meet one of the following educational pathways:
Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids.
Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience.
Additional requirements:
Strong understanding of fluid mechanics and applied aerodynamics.
Practical experience formulating and executing CFD or aerodynamic analyses.
Strong practical proficiency in Python, including the ability to write and debug code independently.
Experience using Python for scientific computing, engineering automation, or computational analysis.
Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API.
Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results.
Strong quantitative, analytical, and problem-solving skills.
Ability to communicate technical reasoning and engineering trade-offs clearly.
Professional English proficiency at C1 level or higher.
Oakland, California, United States, AMER
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Chicago, United States; Commitment to in-office leadership, permanent relocation if needed, and ability to take the role without employer-provided immigration sponsorship; Relocation assistance
Warrington, United Kingdom
УдалённоBrazil; Argentina; This is a remote position open to candidates based in GMT-1 to GMT-3 time zones, with the working day starting at 9:00 or 10:00 local time, or in GMT+0, with the working day starting at 11:00 or 12:00 local time
Abu Dhabi, United Arab Emirates; We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities
УдалённоheadRussia; Belarus; Georgia; Armenia; Kazakhstan; Moldova
УдалённоseniorUnited States; Canada; Australia; New Zealand; United Kingdom
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