Benefits:

• Healthcare

• Equity

Education Requirements:

• Law degree

Experience Requirements:

• 3+ years of transactional legal experience

• ideally gained in an in-house environment

• Deep familiarity with drafting, review, and negotiation of contracts

• Experience using generative AI for legal work

Other Requirements:

• Strong quantitative and analytical skills

• Ability to design and interpret evaluation metrics

• Exceptional cross-disciplinary communication and collaboration skills

• Technologically curious with an aptitude for learning new tools, software, and skills

• Meticulous attention to detail

Responsibilities:

• Design and run rigorous evaluations measuring the quality of our AI-generated outputs

• Review and validate product outputs for accuracy, relevance, comprehensiveness, helpfulness, etc.

• Collaborate closely with the engineering and GTM teams to identify performance gaps, diagnose their causes, and develop solutions

• Translate nuanced, real-world legal expectations into concrete, testable prompts and evaluation criteria

• Draft and iterate on system prompts for our various AI systems

Benefits:

• Competitive Salary

• Company will provide you pc/laptop with OS of your choice

• Excellent career opportunities and growth

• A friendly and creative working environment

• 5-day work week

Experience Requirements:

• 7+ years

• 4–5 years of hands-on experience in digital marketing within ride-hailing, tech, or mobility industries.

Other Requirements:

• Proven track record in campaign optimization, digital performance analysis, and multichannel execution.

• Excellent command of written and spoken English.

• Strong hands-on experience with Meta Ads, Google Ads, YouTube Ads.

• Proficient in marketing analytics tools (Google Analytics, Data Studio, or similar).

• Familiarity with CRM and marketing automation (HubSpot, Mailchimp, or similar).

• Working knowledge of creative tools/platforms (Canva, Figma, Adobe Suite).

• Solid project management skills and the ability to prioritize under pressure.

• Resourceful, agile, and effective in dynamic, fast-paced environments.

Responsibilities:

• Design, execute, and monitor 360-degree digital marketing campaigns (SEM, social media, display, email).

• Continuously test, measure, and optimize campaigns based on KPIs.

• Use analytics tools (Google Analytics, Meta Business Suite, etc.) to assess campaign performance.

• Implement A/B testing strategies to optimize ad creatives and landing pages.

• Generate actionable reports and dashboards to support real-time decision-making.

Benefits:

• Competitive Salary

• Company will provide you pc/laptop with OS of your choice

• Excellent career opportunities and growth

• A friendly and creative working environment

• 5-day work week

Experience Requirements:

• 2-4 years

Other Requirements:

• Basic PHP knowledge for theme and plugin tweaks

• Familiarity with Tailwind CSS or other utility-first frameworks

• Experience with backup/migration tools (like Duplicator, All-in-One WP Migration)

• Familiarity with staging environments and basic server-side troubleshooting

• Understanding of security best practices for WordPress

• Comfortable managing web hosting environments, especially cPanel, shared hosting, and basic VPS setups

• Experience with domain management, DNS, and basic SSL setup

• Strong experience with Elementor and WordPress theme customization

• Solid understanding of HTML5, CSS3, and basic JavaScript/jQuery

• Experience with custom post types and ACF (Advanced Custom Fields)

• Experience creating and modifying responsive designs

• Familiarity with WordPress plugins and ability to troubleshoot plugin conflicts

• Good understanding of WordPress architecture and file structure

• Familiarity with website optimization (speed, SEO basics, image compression, caching)

• Understanding of version control (Git preferred)

Responsibilities:

• Turn design mockups into responsive and fast WordPress websites

• Comfortable handling hosting and basic server tasks

• Work on a variety of websites ranging from business sites to custom WordPress builds

• Have the opportunity to learn and grow in a collaborative environment

Benefits:

• Competitive Salary

• Company will provide you pc/laptop with OS of your choice

• Excellent career opportunities and growth

• A friendly and creative working environment

• 5-day work week

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related IT field.

Experience Requirements:

• 1+ year

• Proven experience as a Quality Assurance Engineer or in a similar role.

Other Requirements:

• Strong understanding of software development life cycle (SDLC), QA methodologies, and industry best practices.

• Proficiency with testing tools and frameworks (manual and automated).

• Experience in performance testing and/or security testing is an added advantage.

• Knowledge of Git version control system.

• Hands-on experience with Laravel and React applications.

• Excellent problem-solving skills with strong attention to detail.

• Effective communication and teamwork abilities.

Responsibilities:

• Develop and maintain detailed test plans, test cases, and test scripts to ensure product quality.

• Collaborate closely with developers, product managers, and designers to understand requirements and design effective testing strategies.

• Perform manual and automated testing to identify, document, and track defects, ensuring high performance and functionality of our applications.

• Contribute to the continuous improvement of QA processes, tools, and standards.

• Troubleshoot and analyze technical issues, working with cross-functional teams to determine root causes and implement solutions.

Benefits:

• cash bonus

• equity rewards

• benefits

Experience Requirements:

• 10+ years of experience in sales development, business development, or new business sales roles, with 5+ years in leadership positions managing managers and teams

• Proven success building and scaling sales/BDR teams within a fast-growth, scrappy, or startup-like environment, especially around new market segments

• Deep understanding of mid-market sales dynamics and long-cycle consultative selling

• Exceptional leadership skills with a proven track record of inspiring and motivating teams to deliver results

• Experience coaching leaders to cultivate talent and scale organizations effectively

Other Requirements:

• Executive presence with the ability to influence and communicate effectively across all levels of the organization

• Demonstrated ability to define and execute innovative strategies that drive pipeline growth in alignment with business priorities

• Hypothesis-driven and analytical thinker with a data-informed approach to optimizing processes and decision-making

• Strong cross-functional experience working with Marketing, Sales, and Revenue Operations to drive shared initiatives

• Ability to build trusted relationships across teams and functions, empowering alignment and shared accountability

• Expertise with CRM tools (e.g., Salesforce), sales enablement platforms, and analytics frameworks for data-driven decision-making

• Familiarity with modern outbound techniques (e.g., sequencing tools, LinkedIn Sales Navigator, etc.)

• Entrepreneurial mindset and willingness to roll up your sleeves to build from the ground up

• Customer-obsessed with an unwavering commitment to delivering value

• Occasional travel for team offsites, leadership meetings, and customer-facing opportunities

Responsibilities:

• Build a world-class Sales Development organization by coaching and motivating leaders to drive performance, accountability, and continual improvement

• Lead BDR Managers and their respective teams of BDRs to deliver on business objectives

• Foster a culture of collaboration, innovation, and excellence, attracting and retaining top talent

• Define and execute the vision, strategy, and roadmap for sales development, aligned to the growth objectives of our mid-market new business sales team

• Partner with Marketing, Sales, and other cross-functional teams to create and refine demand generation strategies and lead qualification processes

Benefits:

• Competitive salary

• Learning & development stipend

• Equipment of choice

• (Mental) health support

• Generous paid time off

Experience Requirements:

• Experienced

• Understand the challenges of a rapidly growing company

• Comfortable with Kubernetes and cloud providers

• Use AI tools to ship solutions faster

• Interested in learning about, or already experienced with Azure or other cloud providers, ArgoCD or other GitOps tools, Terraform or other infrastructure-as-code tools

Other Requirements:

• Care about developer productivity and best practices as much as service health and performance

• Obsess over reliability, stability and scalability

• Infrastructure security and SOC2 compliance

Responsibilities:

• Help scale our infrastructure and development processes

• Steer DevOps practices to unleash customer value

• Grow and support the members of your team

• Collaborate with Product and Customer Success to plan and prioritize work

• Balance personal goals with organizational needs and assist others when necessary

Benefits:

• Self-Managed Paid Time Off (PTO)

• 100% company-paid Medical, Dental, & Vision insurance for employees and their dependents.

• 401(k) retirement plan with company match.

• A diverse, inclusive, and collaborative work environment where innovation and growth are encouraged.

Experience Requirements:

• 5+ years of enterprise SaaS solution sales experience with a track record of closing large, complex, multi-stakeholder deals.

• Ability to effectively engage with senior business leaders, executives, and high-level technical roles.

• Strong strategic selling skills, with experience managing long sales cycles and complex negotiations.

• Comfort operating in a fast-paced, ambiguous environment while driving focus and clarity around new solutions.

• Ability to work independently while collaborating effectively across sales, product, and marketing teams.

Other Requirements:

• High energy, adaptability, and intellectual curiosity with a genuine interest in emerging technology.

• Ability to collaborate with system integrator partners inside of large enterprises.

• Experience in DevOps, DevTools, or QA/Testing ecosystems.

Responsibilities:

• Drive strategic growth of TrueTest by identifying, developing, and closing large, complex opportunities across enterprise accounts in the Americas region.

• Partner with regional Account Managers as a sales overlay specialist, focusing exclusively on positioning and selling TrueTest into key strategic accounts.

• Lead discovery sessions and articulate the business value of TrueTest to executive and technical stakeholders, including C-Suite decision-makers.

• Develop and execute go-to-market strategies for TrueTest within top accounts, coordinating with marketing, sales engineering, and product teams.

• Create and deliver compelling pricing proposals, manage negotiations, and drive enterprise-level contract execution.

Experience Requirements:

• Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)

• Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)

• Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies

• Hands-on experience integrating AI agents and LLMs into production systems

• Proficient with conversational flow frameworks such as LangGraph

Other Requirements:

• Applicants must be authorized to work in the U.S.

• U.S. citizens and Green Card holders are strongly encouraged to apply

Responsibilities:

• Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases

• Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance

• Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment

• Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions

• Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications

Experience Requirements:

• Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)

• Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)

• Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies

• Hands-on experience integrating AI agents and LLMs into production systems

• Proficient with conversational flow frameworks such as LangGraph

Experience Requirements:

• Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)

• Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)

• Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies

• Hands-on experience integrating AI agents and LLMs into production systems

• Proficient with conversational flow frameworks such as LangGraph

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role

• A Computer Science background is required as opposed to statistics or pure mathematics

Experience Requirements:

• Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised

• Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)

• Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.

• Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.

• Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.

• Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.

• Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering

Experience Requirements:

• At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite

• Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc.

• Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage.

• Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions.

• Help out with ad-hoc one-off tasks as a team player within the AI team.

• Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality.

• Investigate weaknesses of models in production and work on pragmatic solutions.

Benefits:

• comprehensive healthcare coverage

• flexible PTO

• equity RSUs

• annual performance bonus opportunities

• retirement account support

Other Requirements:

• self-motivated

• creative problem solver

• excellent communicator

• coachable

• organized individual with strong communication and critical thinking skills

Responsibilities:

• new business opportunities by contacting and developing relationships with potential customers

• reaching out to target accounts in your territory

• qualifying inbound leads from campaigns into sales opportunities

• Take primary ownership of our named account strategy and communicate effectively with all levels (C, SVP, VP, Dir, etc.) and key decision makers

• Build strong relationships with internal and external customers and deliver presentations Coordinate meetings or calls between prospective clients and Account Executives as well as maintain strong relationships with the prospect through the entire sales process

Benefits:

• comprehensive healthcare coverage

• flexible PTO

• equity RSUs

• annual performance bonus opportunities

• retirement account support

Education Requirements:

• Bachelor’s Degree in Computer Engineering, Web Development, Computer Science or equivalent experience

Experience Requirements:

• A strong Java/J2EE background in AEM back-end development (preferably Java 11)

• 3+ years of development experience with AEM as a Cloud Service, including at least 1-2 full cycle AEMaaCS projects for high-volume, content heavy web sites or applications

• 5+ years of strong web content management experience with AEM

• Experience with integrating AEMaaCS/AEM 6.3+ with other products and vendors via APIs and other standard methodologies

• Experience with Java Content Repository (API) suite, Sling web framework and Apache Felix OSGi framework, and DAM

Other Requirements:

• An innovator

• Someone who understands design and systems, but can speak to the business

• Curious

• Experience gathering complex requirements from multiple stakeholder groups and translating into architecture and development tasks

• Experience with configuration planning, testing, and change management

Responsibilities:

• Act as a liaison between the business and the development teams, collecting requirements and creating solution design that allows the development team to deliver efficiently.

• Develop modern user experiences for customer-facing web properties that are progressive and responsive

• Build experiences across a broad range of core technologies, including HTML, CSS, JavaScript, and Java

• Take initiative to come up with solutions for multiple problems, such as development, risk, scope/budget, security, and other challenges

Benefits:

• Company-sponsored health insurance plans, including 100% company-paid HDHP

• Vision + dental opt-in

• Unlimited PTO

• Paid company holidays

• Paid winter break

Experience Requirements:

• 1-3 years of high volume recruiting experience preferred

Other Requirements:

• Is detail-oriented, excels at executing intricacies and reviews work thoroughly

• Has impeccable verbal and written communication skills

• Is task-oriented and thorough in task completion

• Is excited about hiring/recruiting and wants to manage this cyclical process

• Is organized (calendar-obsessed list-makers + planners, we want to meet you!)

• Demonstrates critical thinking in order to adapt automated processes to unique situations

• Eagerness to learn, contribute, and grow within a collaborative, fast-paced team

• Interest in media/entertainment industry trends, specifically streaming and digital advertising ecosystems

Responsibilities:

• Post, renew and maintain job ads for assigned positions on multiple job boards

• Actively source and recruit talent for assigned positions in Sifted cities online and in the local community

• Manage the hiring pipeline, including conducting phone screens and making offers of employment

• Complete onboarding on new hires, including orientation meetings and ensuring smooth onboarding in payroll/HRIS

• Assist People Operations Generalist with ad hoc administrative duties as needed

Benefits:

• Medical, dental, vision, life, and disability insurance

• 401k plan

• Monthly allowance for commuting/internet and fitness/wellbeing

• Generous paid time off (sick, personal, vacation, holidays)

• Annual bonuses and long-term incentive plan

Education Requirements:

• Bachelor’s degree in Computer Science, ML/AI, or relevant technical field, or equivalent practical experience

• Ph.D., research background in ML/AI in CS or AI, or relevant technical field (preferred)

Experience Requirements:

• 5+ years experience working in ML

• Experience building, scaling, and optimizing enterprise-grade ML/AI systems

• Experience coding in Python, C/C++, or other similar languages

• Experience communicating AI research and development to non-technical audiences

• Expertise in geospatial AI, such as remote sensing and/or ML for geospatial trajectories

Other Requirements:

• Move fluidly between AI research and production engineering

• Deeply experienced in one or several areas in foundational machine learning research, and production-scale deployment

• Operate with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability

• Enjoy working in a highly collaborative environment

Responsibilities:

• Advancing foundation models for geospatial intelligence

• Addressing domain adaptation, low-resource settings, and high-impact decision-making

• Minimizing the cost of annotating high-quality, large-scale geospatial datasets

• Scaling model training and inference responsibly, efficiently, and cost-effectively

• Building robust AI-first tools that enable scientists, policymakers, and conservationists to generate actionable intelligence

Education Requirements:

• MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

Other Requirements:

• Great communication and interpersonal skills

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Benefits:

• Strong startup (and fun) culture

Experience Requirements:

• 4+ years of troubleshooting and debugging experience with robotics, industrial automation, or similar mechatronics industries — especially mobile robotics

• Experience with Git, ROS, YAML, and basic Python

• Experience with basic system administration and network configuration

• Experience with relational databases and SQL

• Experience reading and interpreting mechanical drawings, system block diagrams, circuit schematics, and engineering manuals

Other Requirements:

• Communication skills

• Empathy

• Safety orientation

• Attention to detail

• Comfort with electrical and mechanical tools

Responsibilities:

• Work with customers to deploy and support robotic fleets in the warehouse

• Provide detailed training to customer teams onsite

• Commission, test, and debug robotic systems, remotely troubleshooting with the engineering team as needed

• Conduct routine and incident maintenance for our robot fleet

• Provide timely repairs and decrease the time our robots are out of production

Experience Requirements:

• 6 months to 1 year of experience

Other Requirements:

• Key knowledge related to the field of frontend development

• Understanding of the functioning of web frameworks such as Laravel, CakePHP, CodeIgniter, Symfony or Yii

• Understanding of the basic principles of interface technologies

• Knowledge of the internal features of PHP

• Understanding of the internal specifics of automation tools

• Ability to create high-quality application architecture.

• Understanding of how PHP databases work.

• Contribute in all phases of the development lifecycle.

• Develop and deploy new features to facilitate related procedures and tools if necessary.

Responsibilities:

• Integration of user-facing elements developed by front-end developers.

• Build efficient, testable, and reusable PHP modules.

• Solve complex performance problems and architectural challenges.

• Ensuring that the code is deployed successfully.

• Collaboration with UI/UX designers.