Location: India (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking experienced professionals in Indian Finance and Financial Services to contribute to a cutting-edge AI benchmarking project in Telugu. As a Subject Matter Expert, you will create and review high-quality, real-world financial scenarios that evaluate AI systems in India-specific contexts. Your expertise will directly shape how AI understands and performs in India-compliant financial environments.
WHAT YOU’LL DELIVER
- Create realistic, domain-specific tasks in Telugu reflecting Indian finance practices
- Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses
- Review and score submissions for accuracy, regulatory alignment, and professional quality
- Provide expert feedback and contribute to high-quality “gold standard” solutions
QUALIFICATIONS
- Native Telugu with strong professional English proficiency
- 5+ years of experience in Finance or Financial Services (e.g., structuring, compliance, audit, risk, investment analysis)
- Strong knowledge of Indian financial products and frameworks
- Familiarity with Indian regulatory environments (e.g., central banks, capital market authorities, tax/zakat frameworks)
- Ability to write and evaluate professional-grade financial content in Telugu with high attention to detail
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
What to Consider Before Applying
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain
Step 2: Register in Tipalti to ensure a smooth payment process
Step 3: Finalize onboarding and join the Production team
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: India (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking experienced professionals in Indian Finance and Financial Services to contribute to a cutting-edge AI benchmarking project in Urdu. As a Subject Matter Expert, you will create and review high-quality, real-world financial scenarios that evaluate AI systems in India-specific contexts. Your expertise will directly shape how AI understands and performs in India-compliant financial environments.
WHAT YOU’LL DELIVER
- Create realistic, domain-specific tasks in Urdu reflecting Indian finance practices
- Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses
- Review and score submissions for accuracy, regulatory alignment, and professional quality
- Provide expert feedback and contribute to high-quality “gold standard” solutions
QUALIFICATIONS
- Native Urdu with strong professional English proficiency
- 5+ years of experience in Finance or Financial Services (e.g., structuring, compliance, audit, risk, investment analysis)
- Strong knowledge of Indian financial products and frameworks
- Familiarity with Indian regulatory environments (e.g., central banks, capital market authorities, tax/zakat frameworks)
- Ability to write and evaluate professional-grade financial content in Urdu with high attention to detail
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
What to Consider Before Applying
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain
Step 2: Register in Tipalti to ensure a smooth payment process
Step 3: Finalize onboarding and join the Production team
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: India (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking experienced professionals in Indian Finance and Financial Services to contribute to a cutting-edge AI benchmarking project in Assamese. As a Subject Matter Expert, you will create and review high-quality, real-world financial scenarios that evaluate AI systems in India-specific contexts. Your expertise will directly shape how AI understands and performs in India-compliant financial environments.
WHAT YOU’LL DELIVER
- Create realistic, domain-specific tasks in Assamese reflecting Indian finance practices
- Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses
- Review and score submissions for accuracy, regulatory alignment, and professional quality
- Provide expert feedback and contribute to high-quality “gold standard” solutions
QUALIFICATIONS
- Native Assamese with strong professional English proficiency
- 5+ years of experience in Finance or Financial Services (e.g., structuring, compliance, audit, risk, investment analysis)
- Strong knowledge of Indian financial products and frameworks
- Familiarity with Indian regulatory environments (e.g., central banks, capital market authorities, tax/zakat frameworks)
- Ability to write and evaluate professional-grade financial content in Assamese with high attention to detail
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
What to Consider Before Applying
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain
Step 2: Register in Tipalti to ensure a smooth payment process
Step 3: Finalize onboarding and join the Production team
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
You'll own paid acquisition at Vercel across Google, Meta, LinkedIn, YouTube, and emerging channels, with one goal driving the work: scalable, profitable customer acquisition for our self-serve and enterprise motions.
This role is built for an analytical, AI-native growth marketer who cares about results, testing velocity, and scale. We want someone who has already wired AI into how they work, building agents, automations, and workflows that let them operate like a much larger team. You'll bring operational rigor to how we launch and scale campaigns, own the systems that make us faster, and turn our acquisition engine into a compounding growth loop. The work sits between strategy and execution, in close partnership with Product Marketing, Lifecycle, Creative, Data, and Marketing Operations, so the right message reaches the right developer or buyer in the right channel.
What you'll do
Paid acquisition end to end across Google Search and YouTube, Meta, LinkedIn, and emerging channels, driving signups, activations, and pipeline
Multi-million-dollar annual paid media spend, where you beat ROAS and CAC targets and lower CAC over time
AI-driven operating leverage, building agents, automations, and AI-assisted workflows that compress campaign turnaround and scale creative production
Creative and audience testing, where you systematically find (and sometimes design) winning creative and audience segments, using AI to generate and iterate variants at high velocity
Measurement and attribution, building funnel reports and cohort analyses with Analytics, and owning event-based tracking, pixels, and conversion APIs so the data stays clean
Performance reporting, where you surface actionable insights and clear recommendations to leadership on a regular cadence
Cross-functional alignment with Product Marketing, Demand Generation, Lifecycle, Creative, and Marketing Operations on targeting, messaging, and down-funnel conversion
What you need
5+ years running and scaling paid performance campaigns at high-growth B2B SaaS, developer tools, or consumer tech companies
Demonstrated AI-native habits, where you reach for AI by default and have built agents, automations, or workflows that changed how you operate (if you've automated parts of your own job, that's a strong signal)
Hands-on expertise with Meta Ads, Google Search and YouTube, and LinkedIn Ads, with TikTok Ads or programmatic as a bonus
A track record managing $1M to $5M+ in annual paid media budgets and beating ROAS and CAC goals
Fluency in data and analytics, storytelling with campaign data, and testing and evaluating audience performance
Strong copywriting instincts and taste in performance creative, and ability to scale taste with AI
Clear written and verbal communication that lands with both technical developers and enterprise buyers
A bias for action - you can just ship things.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $150,000 - $188,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco; Austin; New York City
Workplace: Hybrid
Perplexity is seeking a highly motivated and skilled Commercial Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth across small and mid-sized organizations, converting product-led demand into committed Enterprise relationships, and building Perplexity's footprint across thousands of high-potential accounts. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to help shape Perplexity's commercial motion from the ground up.
RESPONSIBILITIES
- Drive new business by prospecting, pitching, and closing Perplexity Enterprise solutions with small and mid-sized organizations
- Convert existing self-serve customers into Enterprise relationships, and land net-new logos through outbound, inbound, and product-led signals
- Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs
- Conduct high-impact product demonstrations and respond to technical inquiries across Perplexity's full product suite
- Lead client engagement through the entire sales cycle, from initial presentation, technical evaluation, negotiation, to closing and onboarding
- Quickly diagnose account potential, qualify in and out with discipline, and partner with Enterprise AEs when an account warrants a larger motion
- Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit
- Maintain up-to-date knowledge of Perplexity's platform, industry trends, and competitor landscape
- Meet or exceed individual and team revenue, logo, and activity targets on a monthly and quarterly basis
- Maintain accurate records of pipeline and account activity using CRM tools
QUALIFICATIONS
- Full-cycle SaaS sales experience with a strong track record of closing new business
- Proven record of meeting or exceeding revenue targets in a high-growth environment
- Skilled at running efficient sales cycles and tailoring messaging to different buyer personas and decision makers
- Proven success outbound prospecting into small and mid-sized organizations
- Exceptional written and verbal communication; comfortable presenting to executives and technical buyers
- Adept at identifying client pain points and mapping solutions that drive business value
- Ability to collaborate effectively with both cross-functional teams and technical stakeholders
- Experience with CRM systems (e.g. Salesforce)
- Bachelor's degree or equivalent experience
Location: San Francisco; Austin; New York City
Workplace: Hybrid
Perplexity is seeking a highly motivated and skilled Commercial Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth across small and mid-sized organizations, converting product-led demand into committed Enterprise relationships, and building Perplexity's footprint across thousands of high-potential accounts. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to help shape Perplexity's commercial motion from the ground up.
RESPONSIBILITIES
- Drive new business by prospecting, pitching, and closing Perplexity Enterprise solutions with small and mid-sized organizations
- Convert existing self-serve customers into Enterprise relationships, and land net-new logos through outbound, inbound, and product-led signals
- Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs
- Conduct high-impact product demonstrations and respond to technical inquiries across Perplexity's full product suite
- Lead client engagement through the entire sales cycle, from initial presentation, technical evaluation, negotiation, to closing and onboarding
- Quickly diagnose account potential, qualify in and out with discipline, and partner with Enterprise AEs when an account warrants a larger motion
- Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit
- Maintain up-to-date knowledge of Perplexity's platform, industry trends, and competitor landscape
- Meet or exceed individual and team revenue, logo, and activity targets on a monthly and quarterly basis
- Maintain accurate records of pipeline and account activity using CRM tools
QUALIFICATIONS
- Full-cycle SaaS sales experience with a strong track record of closing new business
- Proven record of meeting or exceeding revenue targets in a high-growth environment
- Skilled at running efficient sales cycles and tailoring messaging to different buyer personas and decision makers
- Proven success outbound prospecting into small and mid-sized organizations
- Exceptional written and verbal communication; comfortable presenting to executives and technical buyers
- Adept at identifying client pain points and mapping solutions that drive business value
- Ability to collaborate effectively with both cross-functional teams and technical stakeholders
- Experience with CRM systems (e.g. Salesforce)
- Bachelor's degree or equivalent experience
Location: Clarksville, TN
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
Annual Salary starting at $70,000
Shift: Days 7am-4pm Monday-Friday
Area of Responsibility
:
Assist with maintaining compliance with national and local life
safety
codes
Perform regular inspection of
safety
& fire prevention compliance
Develop and maintain site specific
safety
/ fire prevention programs to ensure compliance
Perform audits for Lock Out Tag Out, Job Hazardous Analysis, Machine Safe Guarding, Construction
Safety
etc.
Assist and maintain compliance that is consistent with the requirements of ISO 45001
Incident management (First aid response, accident investigation and incident reporting)
Assist with Worker’s Compensation Management and Reporting
Assist with fire equipment and facility inspections as needed
*The required roles and responsibilities of this position are not limited to the listed tasks
Education Level and/or Relevant Experience:
Minimum of Bachelors' Degree in engineering or
Safety
3-5 years of relevant experience
Safety
and/or Fire Prevention certifications preferred
Knowledge and Skills:
Strong understanding of production of complex equipment and system integration
• Strong knowledge of manufacturing methods and process improvements that includes but not limited to manufacturing and 6 Sigma Lean manufacturing
• Ability/Experience in using strong skills in analyzing, troubleshooting and evaluating problems
• Exceptional written and oral communication skills
• Strong knowledge of manufacturing; including machine capabilities and efficiencies, etc.
Other Requirements:
Some occasional international travel required
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA
About the role
Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring AI/ML Engineers across several teams, Trust & Safety, Lending, Growth, and Foundation Models, and you'll be matched with the team where your background, experience and interests fit best.
In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into decisions that protect members from fraud, expand access to credit, and power the personalized experiences and marketing that help millions of members get more out of products like MyPay, Instant Loans, and SpotMe — along with the foundational models the rest of our teams build on. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters.
In this role, you can expect to
Build, train, and deploy deep learning and classical ML models on large-scale financial, transactional, and behavioral datasets
Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live
Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining
Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one
Connect model performance to member outcomes and business metrics, and use experimentation to prove impact
Contribute to the shared ML platform, tooling, and standards that the rest of the team builds on
Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one
To thrive in this role, you have
Experience building and deploying deep learning models in production, with a solid grasp of architecture choice, training dynamics, and evaluation — and the judgment to model design choices
Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you
Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring
Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew
Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark
Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy
The ability to operate independently in ambiguous environments, and to communicate clearly with both technical and non-technical partners
Nice-to-Have
Experience in any one of these is a plus, and helps us match you to the right team.
Trust & Safety
— fraud, risk, abuse detection, or adversarial modeling
Lending
— credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements
Growth
— personalization, recommendation, marketing measurement, or experimentation at scale
Foundation Models
— transformers on tabular or semi-structured data, large-scale pretraining, ML platform work, or applied research with a publication record
#LI-DA1 #LI-Onsite
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$125,000
—
$292,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: New York City
We’re looking for a Staff Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you’ll set technical direction and build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents. This role is based in our New York City office with an office-centric hybrid schedule.
The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence.
Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work.
Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work.
Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent.
Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review.
Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement.
Set technical direction for the team, balancing experimentation with reliability, maintainability, and long-term platform thinking.
Partner cross-functionally with teams across the engineering organization to understand engineering needs, identify workflow friction, and scale high-impact solutions.
About you
8+ years of software engineering experience, including 3+ years of experience leading complex technical projects across teams.
Experience building developer tools, internal platforms, infrastructure, IDE/editor integrations, CLIs, or workflow automation.
Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based integrations, AI-powered code review systems, or agent skill/tool ecosystems.
Experience building evaluation and quality frameworks for AI-generated outputs.
Strong technical judgment and systems design skills, with the ability to make pragmatic tradeoffs in ambiguous or rapidly changing environments.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $248,000 - $282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-AS2
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap.
Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours.
The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top.
We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption.
_______________________________________________________________________
RESPONSIBILITIES
This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will:
- Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams.
- Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use.
- Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today.
- Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need.
- Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics.
We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs.
AI-ASSISTED OPERATIONS
We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include:
- Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page.
- Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production.
- Onboarding and readiness assistants that answer the questions our experts answer today.
If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work.
ON-CALL
Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
_______________________________________________________________________
QUALIFICATIONS
- 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability.
- A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years.
- Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals.
- Experience setting technical direction and leading work that needs cross-team alignment.
- Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups).
Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams.
You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context, meet partner teams, ship your first change, shadow on-call.
FIRST 90 DAYS
- Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production.
ONE YEAR OUTLOOK
- Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Canada: CA$238,250 – CA$382,250 base
United States: $170,350 – $275,550 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team
The Finance Data Team is responsible for the data infrastructure that powers OKX's compliance, regulatory, and financial reporting operations globally. Our Finance Data domain covers everything from raw transaction ingestion to consolidated group financials — supporting statutory reporting, board-level financials, and audit readiness across 100+ markets.
This is a team that treats data correctness as a non-negotiable. We operate at the intersection of engineering rigour, financial domain knowledge, and regulatory accountability.
About the role
We are looking for a
Staff Data Engineer
to be the technical anchor for Finance Data at OKX. You will define how Finance data is architected, validated, and delivered, and set the standard for how the team operates in an AI-native way.
You will work directly with Finance, Accounting, and Treasury stakeholders to ensure that financial data is complete, reconciled, traceable, and audit-ready. You will also be the domain's primary escalation point and the technical voice of Finance Data within the broader engineering organisation.
This role suits someone who has operated as a de facto domain lead before — someone who has built financial data systems that have been reviewed by auditors, regulators and who knows what "good" looks like in a regulated financial data environment.
Responsibilities:
Domain Architecture & Technical Direction
Own the end-to-end Finance data architecture: from ODS ingestion through CDM transformation to reporting mart, with clear data lineage documented at every layer
Define and enforce data modelling standards for Finance: period cut-off immutability, multi-entity consolidation logic, revenue recognition alignment, and audit trail completeness
Lead the design of scalable pipelines supporting trading data, asset positions, P&L, and cost accounting across multiple legal entities and jurisdictions (SG, EU, US, and others)
Make architectural decisions independently and articulate trade-offs clearly to both engineering peers and non-technical Finance stakeholders
Financial Reporting & Audit Readiness
Partner with Accounting, Finance PMO, and Treasury to deliver datasets for month-end close, statutory reporting, and board-level financials on time and to audit standard
Ensure every financial figure is traceable back to the source system with full transformation history — no black boxes
Build the data foundation that supports OKX's regulatory reporting obligations and long-term financial reporting maturity
Data Quality & Controls
Design proactive, self-validating DQC frameworks — reconciliation logic, SLA monitoring, and anomaly detection built into pipelines, not bolted on after incidents
Own incident response for Finance-critical pipeline failures; conduct structured post-mortems and drive permanent fixes
Define "done" for financial correctness in partnership with Accounting; hold the line on data quality standards even under delivery pressure
AI-Native Finance Data
Lead the team's adoption of AI-assisted engineering: LLM-assisted development, automated anomaly detection, intelligent reconciliation, AI-generated reporting summaries
Evaluate and introduce AI tooling into Finance data workflows with production evidence — not POC demos
Set the bar for what an AI-native Finance data team looks like, and bring junior engineers along
Technical Leadership & Influence
Be the go-to escalation point for Finance data domain questions across the team
Mentor and grow engineers working in the Finance domain; translate domain complexity into learnable patterns
Represent Finance Data in cross-team architecture discussions, sprint planning, and stakeholder reviews
Document domain knowledge that outlasts any individual — data dictionaries, pipeline specs, onboarding guides
Requirements:
6+ years
in data engineering, with at least
3 years owning a Finance, Accounting, or financial reporting data domain
end-to-end
Deep understanding of financial data fundamentals: period close and cut-off rules, revenue recognition, multi-entity consolidation, reconciliation, and audit trail requirements
Demonstrated experience building data systems that have been reviewed in a
statutory audit
or
regulatory review
Strong SQL and Python; proven ability to design and maintain complex production pipelines at scale
Experience designing for immutability and lineage — financial data that can be rolled back, re-run, and traced without manual intervention
Track record of operating with significant autonomy: defining requirements from ambiguous stakeholder input, not just executing tickets
Preferred Qualifications:
Experience at a
crypto exchange, fintech, or company that has gone through IPO preparation or public company financial reporting
Familiarity with regulatory reporting requirements across multiple jurisdictions (MAS SG, SEC, FCA, or equivalent)
AI/
LLM
tooling applied to data engineering workflows in production
— concrete examples required; "exploring" does not count
Experience with Spark, Airflow, or equivalent orchestration at scale
Prior experience as a de facto domain lead or tech lead without formal people management title
Background working with Accounting/Controllership teams as a technical counterpart
Perks & Benefits:
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: In-Office
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.
Job Title:
Senior
Oracle EPM Specialist
Role Summary
This critical role is responsible for ensuring smooth financial operations throughout the close cycles by maintaining the stability, security, and high performance of Oracle GL and Oracle EPM environments. The EPM Specialist will absorb knowledge transfer from implementation partners and serve as the primary operational lead for Financial Consolidation and Close - FCCS, Account Reconciliation - ARCS, Profitability and Cost Management - PCMCS, and Enterprise Data Management - EDMCS. A core aspect of the job involves collaborating cross-functionally with IT and business teams to understand downstream system impacts, manage critical system handshakes, and oversee regular maintenance. Partnering closely with Financial Systems leadership, you will help translate the strategic roadmap into reality.
Key Responsibilities
Cross-Functional System Execution:
Work closely with finance, IT, and cross-functional teams to implement roadmap initiatives and evaluate downstream impacts.
Troubleshooting & Resolution:
Investigate and resolve data load, mapping, validation, and calculation issues. Track and resolve recurring or critical issues through Oracle Service Requests
Financial Module Ownership:
Define and own the functional configuration roadmap for key financial modules, including General Ledger
.
Compliance and System Configuration:
Directly design and configure Oracle Fusion to ensure enforcement of critical financial compliance standards (e.g., ASC 606/IFRS 15, SOX).
Data Integration Management:
Administer Data Exchange pipelines, import/export definitions, and update EDM subscriptions to keep metadata aligned. Manage calculation rules, consolidations, and cash flow mappings.
Maintenance & Patching:
Review release notes and perform patch regression testing on monthly EPM patches, promoting updates safely across DEV, TEST, and PROD pods.
System Support & Operations:
Manage and monitor user access control, including assigning predefined and application roles. Provide functional support during close cycles, assisting users with application navigation, workflows, and Smart View queries.
PCMCS & Profitability Management:
Maintain and configure Profitability and Cost Management (PCMCS) applications, managing allocation rules, cost assignment logic, and data model builds.
Solution Architecture & Development:
Partner with leadership to design, build, and optimize scalable EPM data models and solutions. Translate business requirements into technical architecture and execute complex development work across FCCS, ARCS, PCMCS and EDMCS.
Role Requirements (Must-Have Skills)
Active Oracle Cloud EPM Certification(s)
(e.g., Financial Consolidation and Close (FCCS), Account Reconciliation (ARCS), Enterprise Data Management (EDMCS), Profitability and Cost Management (PCMCS) or EPM Data Integration).
Strong hands-on experience managing and supporting core Oracle Cloud EPM modules, specifically FCCS, ARCS, EDMCS, and PCMCS.
Proven ability to manage daily operations, including integrations, consolidations, and reconciliations.
Exceptional troubleshooting skills, specifically regarding Smart View installations, connection settings, and resolving setup conflicts.
Experience managing user security, access roles, and maintaining compliance governance.
Ability to perform monthly/quarterly close operations and execute environment health checks.
Exceptional communication skills with the ability to partner effectively with cross-functional IT and business teams to evaluate inbound and outbound data flows and build architectural solutions.
Nice-to-Have Skills
Familiarity with Oracle Integration Cloud (OIC).
Familiarity or experience with Oracle Tax Reporting (TRCS), as future roadmap capabilities may expand into this area.
Experience with Risk Control Matrix (RCM) functionality to monitor Segregation of Duties (SOD) controls between ERP and EPM systems.
Prior experience with other Finance Planning tools (e.g., PBCS, Adaptive Planning, Planful, Pigment, OneStream, etc is a plus).
Conceptual understanding of Generative AI, Large Language Models (LLMs), or Agentic AI frameworks
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: Dammam, Saudi Arabia; New Delhi, India
Eram Talent is seeking a highly skilled Financial Analyst specializing in Planning & Performance Management to join our team in Saudi Arabia. In this role, you will be responsible for driving financial planning, budgeting, forecasting, and performance measurement initiatives to support the company's strategic objectives. You will work closely with senior management and cross-functional teams to analyze financial performance and provide actionable insights for continual improvement.
Key Responsibilities
Lead the financial planning and analysis processes, including budgeting, forecasting, and long-term planning.
Monitor and evaluate key performance indicators (KPIs) related to financial and operational goals.
Prepare detailed variance analysis reports comparing actual results against budgets and forecasts.
Identify areas for cost optimization and efficiency improvements.
Collaborate with different departments to ensure alignment of financial plans and strategies.
Develop and maintain financial models to support decision making and strategic initiatives.
Provide regular performance reports and presentations to management and stakeholders.
Utilize advanced analytical tools and software for data analysis and reporting.
Stay updated on market trends, industry developments, and regulatory changes affecting financial planning and performance management.
Requirements
Bachelor’s degree in Finance, Accounting, Business Administration or related field.
Minimum 10 years of experience in Financial Analysis, Planning & Performance Management, or Business Systems Analysis, preferably within the Oil & Gas Upstream
Strong experience in financial planning, budgeting, forecasting, financial modeling, and performance management.
Experience in transformation programs, value capture initiatives, KPI development, and performance reporting within large organizations.
Strong analytical, communication, and stakeholder management skills, with the ability to provide strategic financial insights and recommendations.
Strong expertise in budgeting, forecasting, variance analysis, and financial modeling.
Proficiency in Microsoft Excel and financial planning software; experience with Power BI or SAP is a plus.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively across teams and manage multiple stakeholders effectively.
Fluency in English is required; knowledge of Arabic is an advantage.
Benefits
Salary is not a constraint ,company is looking for right candidate .
Location: Remote - USA
Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we grow our data ecosystem, expanding across legacy interoperability networks, QHIN/TEFCA connectivity, and direct HIE integrations, we need rigorous analytical ownership to ensure the clinical data powering our platform is complete, reliable, and actionable.
You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within the Data Products pillar, this role owns the end-to-end understanding of our clinical data lifecycle: where data comes from, where it breaks down, and how each vendor or integration pathway performs across our customer markets. Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments, thus ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy.
As a Data Analyst, you will:
Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps.
Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency,
Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2).
Background in value-based care, population health, or clinical data operations.
Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records).
Comfort working with Python or similar tools for data manipulation and automation.
or incongruence in clinical records.
Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system).
Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX).
Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit.
Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters.
Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility.
Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange.
Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility.
Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets.
You should get in touch if you have:
5+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability
Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages.
Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data).
Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations.
Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders.
Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics.
Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision.
Preferred Qualifications:
Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2).
Background in value-based care, population health, or clinical data operations.
Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records).
Comfort working with Python or similar tools for data manipulation and automation.
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Reimbursement for office setup expenses
Monthly cell phone & internet stipend
Remote-first culture, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
About Counterpart Health:
In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.
Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.
With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Задачи:
— участвовать в проектировании RAG-архитектуры под B2B-кейсы: помогать выбирать источники данных, настраивать ingestion, chunking, базовые стратегии retrieval (dense/hybrid) под руководством более опытных коллег;
— настраивать LLM/агентов под предметную область: реализовывать промпты, подключать инструменты (tool calling), работать с контекстом и базовой памятью;
— реализовывать POC/POV на данных клиента, проводить итерационные улучшения на основе метрик и обратной связи;
— строить Data Ingestion пайплайны с OCR;
— реализовывать evaluation-пайплайны: генерация тестовых наборов, запуск auto-eval, участие в human-eval;
— считать и анализировать ключевые метрики (accuracy, coverage, latency, user success rate), готовить отчеты для команды;
— участвовать в настройке мониторинга: логирование, базовые алерты, анализ неуспешных кейсов и их фиксы;
— участвовать в интеграции с инфраструктурой (Kubernetes, облако), работать с метриками и логами;
— участвовать в нагрузочном тестировании для оценки скорости инференса и необходимых ресурсов.
Требования:
— опыт работы с Python (pandas, PyTorch/TF, API LLM);
— опыт работы в ML/DS/NLP от двух лет;
— опыт работы с LLM/RAG;
— понимание полного цикла ML-разработки;
— практический опыт работы с RAG: настройка retrieval, работа с embedding-моделями, векторными БД (FAISS, Qdrant, Pinecone и др.);
— понимание базовых техник улучшения качества (reranking, filtering, prompt tuning);
— опыт работы с агентными фреймворками (LangChain / LangGraph / LlamaIndex / ADK и др.);
— базовое понимание agentic-подходов и tool calling;
— опыт prompt engineering и настройки LLM под задачи;
— базовый опыт fine-tuning (или понимание подходов: LoRA, QLora, instruction tuning);
— понимание оптимизации инференса (на уровне использования инструментов: vLLM, quantization и др.);
— опыт работы с популярными ML фреймворками: tranformers, vllm, sglang, pytorch;
— SQL, базовое понимание работы с данными и пайплайнами;
— опыт деплоя сервисов (Docker, FastAPI), базовое понимание Kubernetes/облака;
— навыки логирования, мониторинга и базовых A/B-экспериментов;
— опыт работы с evaluation для ML/LLM (auto-метрики + участие в ручной оценке, LLM-as-Judge).
Location: San Francisco; Palo Alto
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
- Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
- Design the decision layer that balances competing objectives to produce the best overall experience for the user.
- Build the data and evaluation foundations that let these systems learn and improve with usage.
- Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
WHAT WE'RE LOOKING FOR
- Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
- Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
- Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
- Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
- For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
NICE TO HAVE
- Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
- Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; Palo Alto
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
- Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
- Design the decision layer that balances competing objectives to produce the best overall experience for the user.
- Build the data and evaluation foundations that let these systems learn and improve with usage.
- Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
WHAT WE'RE LOOKING FOR
- Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
- Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
- Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
- Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
- For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
NICE TO HAVE
- Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
- Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: Remote US
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Manager, Security Operations Center
Location: Remote, US (West Coast)
Compensation Range: $100,000-$125,000 base plus bonus and equity.
This role may be eligible for on-call/call-in pay in addition to base pay
*The initial training period for this position will be Monday-Friday. Following training, the work schedule is subject to change and may include weekend or a 4x10 shift, depending on business requirements*
What You’ll Do:
Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyberattacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth.
The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you!
Responsibilities:
Triage, investigate, and respond to alerts coming in from the Huntress platform.
Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks, where possible, and provide remediations needed to remove the threat.
Perform tactical malware analysis as part of investigating and triaging alerts.
Investigate suspicious Microsoft M365 activity and provide remediations.
Assist in escalations from the Product Support team for threat-related and SOC-relevant questions.
Contribute to detection engineering creation and tuning efforts.
Contribute to projects focused on driving better outcomes for our analysts and partners
Contribute to our collaboratively mentored team (we're all here to make each other better!).
What You Bring To The Team:
4+ years of experience in a SOC or Digital Forensics (DFIR) role
Demonstrated experience with Windows, Linux, and MacOS as an attack surface
Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs)
Demonstrated experience with static and dynamic malware analysis concepts
Working knowledge of Windows Administration or Enterprise Domain Administration
Active Directory, Group Policy, Domain Trusts, etc.
Working knowledge of core networking concepts
Common ports/protocols, NAT, Public/Private IPs, VLANs, etc.
Working knowledge of web technologies and concepts
Web servers/applications, OWASP top 10, etc.
Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments
Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes
A strong sense of curiosity and a genuine excitement for learning
Preferred Qualifications:
Previous experience in an MSP/MSSP/MDR role
Linux and MacOS investigative experience
Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby)
Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc.
Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc.
Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc.
Familiarity with MSP tools such as RMMs
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
УдалённоIndia (Remote)
УдалённоIndia (Remote)
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Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA
New York City
УдалённоCanada; United States
Hong Kong, Hong Kong SAR; Singapore, Singapore
seniorГеография найма не уточнена
Зарплата не указана
УдалённоRemote - USA; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity