Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

As a Senior Staff Software Engineer for the Agent Platform, you will be the technical visionary responsible for evolving our core Endpoint services into a world-class, high-scale platform. You will architect and lead the development of backend services that manage, update, and monitor tens of millions of agents globally, ensuring the foundation of SentinelOne’s security remains resilient and scalable. Your leadership will bridge the gap between long-term technical strategy and high-velocity execution, influencing the architecture of our entire SaaS ecosystem.

What Will You Do? 

Primary responsibilities include:

• Architectural Vision: Define and drive the long-term technical roadmap for the Agent Platform, transitioning legacy services into a modern, Java-based microservices architecture while maintaining high-performance Go-based systems.
• System Design at Scale: Lead the design and implementation of highly available, cloud-native services (gateways, caching, fleet management) that process billions of events daily and support the world’s largest enterprises.
• Technical Leadership & Influence: Act as a key stakeholder in cross-organizational architectural reviews, ensuring the Agent Platform provides the necessary extensibility and reliability for other product teams to build upon.
• Operational Excellence: Drive engineering best practices across the group, including advanced performance optimization, deep health reporting, and automated lifecycle management of the agent fleet.
• Mentorship & Growth: Elevate the engineering bar by mentoring Staff and Senior engineers, fostering a culture of technical excellence, accountability, and proactive problem-solving.

What Skills and Knowledge Will You Bring? 

Ideal candidates will have:

• Extensive Backend Expertise: 12+ years of professional experience in backend development, with deep production-level mastery of both Golang and Java (transitioning to Java for new services).
• Platform Thinking: Proven track record of building and scaling platforms (not just features), with a focus on API design (gRPC, REST), multi-tenancy, and shared infrastructure services.
• Data & Distributed Systems: Expert-level knowledge of RDBMS (PostgreSQL), query optimization, and experience with high-throughput messaging systems like Kafka and distributed caches (Redis).
• Cloud-Native Proficiency: Deep experience with AWS/GCP, Kubernetes, Docker, and modern CI/CD patterns (ArgoCD, GitHub Actions) in a hyper-scale SaaS environment.
• Strategic Communication: Ability to articulate complex technical trade-offs to both technical and non-technical stakeholders, including Product Management, Directors, and VPs.
• Cybersecurity Context: (Bonus) Familiarity with security event processing or endpoint management in a high-growth cybersecurity context.

Why SentinelOne? 

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws)
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching.
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance.
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.
• LinkedIn Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Sodexo food coupons.

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

The Community You Will Join:

The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:

• Growth Platform: Designed to increase supply and retain existing hosts.
• Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
• Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
• Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
• Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.

The Difference You Will Make:

The Community Platform team is building a groundbreaking social platform aimed at delivering a differentiated service to our community. This platform will empower local communities to collaborate, support community leaders, host local and global events, provide improved resources, drive engagement, mobilize the community, and offer direct feedback to Airbnb.

We are seeking a highly skilled and motivated Full Stack engineer who is passionate about making a difference through their work. You will play a significant role in shaping the technical vision and then delivering a solution that is flexible, efficient and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.

A Typical Day: 

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features
• Drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch.
• You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Provide critical input in team roadmap and technical direction.

Your Expertise:

• 6+ years of full software development experience
• Proficient in at least one major programming language (preferably Java / Kotlin / Scala / Ruby on Rails / Python).
• Passion for delivering products end-to-end: from ideation through planning and scoping to implementation and experimental A/B testing.
• Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms.
• Passionate about design and building UX products. You bring flexibility to collaboration with design and product partners by presenting tradeoffs and iterating to the ideal solution.
• Outstanding communication and interpersonal skills and detail oriented.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.

We are seeking energetic Customer Service Specialists  to join our global team in Bangalore!

Responsibilities: 

• Maintain a high bar for client experience by setting an example through performance and work ethic 
• Conduct video calls with customers to assist them with transactional activities such as KYC and user verification .
• Provide personalized assistance and guidance to customers, ensuring their needs are met promptly and effectively.
• Accurately manage customer information and transaction details within our systems.
• Act as a critical line of defense to detect and escalate suspicious or unusual activity and prevent fraudulent activities by interfacing with customers directly.
• Collaborate with other team members and departments to address complex customer issues and escalate when necessary.
• Maintain a professional and courteous demeanor at all times, representing the company's values and brand image.
• Continuously strive to improve customer service processes and procedures to enhance efficiency and customer satisfaction.
• Stay updated on industry trends, product knowledge, and customer service best practices to provide informed assistance to customers

This role demands excellent communication skills, attention to detail, and a customer-centric approach. 

Skills & Experience:

We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship.

Qualifying Skills & Experience: 

• 3+ years of work experience in customer success or related role 
• Bachelor’s degree required
• Handling Video calls for International Client Base is a must
• Previous experience in customer service (mainly calls) 
• Excellent communication skills, both verbal and written, with proficiency in conducting video calls.
• Strong interpersonal skills with the ability to build rapport and resolve customer concerns effectively.
• Detail-oriented with a focus on accuracy in  transaction processing.
• Ability to multitask and prioritize tasks in a fast-paced environment.
• Proficiency in using computer systems, software applications, and video call platforms.
• Flexibility to work varying shifts, including evenings, weekends, and holidays as needed.
• A knowledge on Salesforce ticketing flow would be good to have. 

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem-solving, and who want risks to be part of the team that changes the world’s financial markets.

Here are some of the benefits of working at BitGo:

• Competitive salary
• IT equipment support for work
• Meal and commute allowance
• Medical Insurance
• Attractive Well-being allowance (comprised of medical, wellness and fitness aspects)
• Snacks: on-the-house in the Bangalore office
• Great/Talented workforce to learn and grow with

Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

Note:

• This role requires working onsite five days a week at the Bangalore office.

• The working schedule is not fixed and the role will require working in rotational shifts based on business needs.

Working Hours (For Example)

SCHEDULE

 Monday - Friday, 8:00am - 4:30pm 

JOB SUMMARY

Cresco Labs is seeking a Lead Cultivation Agent to join our growing facility. The Lead Cultivation Agent works within our on-site cannabis gardens to lead a team of agents in their daily tasks of monitoring and maintaining plant production and health. This individual will also oversee quality control measures within the greenhouse to ensure the highest quality products and highest standards of compliance are met, while keeping a keen eye to cleanliness and efficiency of the production area. 

CORE JOB DUTIES 

Agent Support and Management:    

• Responsible for managing cultivation staff, schedules, cultivation processes, and inventory.    

• Serves as a role-model and resource for cultivation staff concerning products and services, policies and procedures, industry news, and changes in regulations.    

• Responds to all gardener questions, concerns, or suggestions and takes action when necessary to resolve conflicts.    

• Responsible for delegating tasks to gardeners order to maintain a compliant and clean cultivation facility.    

• Coordinates with the Garden Manager to ensure accurate information is communicated to the cultivation staff.    

Cultivation Operation Management:    

• Oversees all cultivation tasks and processes, ensures proper documentation of all applicable activities in accordance with the State and standards set by Cresco Labs.    

• Responsible for measuring and mixing nutrient and plant applications and applying these mixtures according to Cresco Labs policy.    

• Ensure plant health by pruning, topping, trimming, and analyzing plant health according to Cresco Labs policy, as well as any other tasks required.    

• Maintain rotation of strains through garden to ensure variety and quantity for cultivation facility.    

Reports and Documentation:    

• Maintain accurate records of all cultivation activities including inventory records, crop application records, materials receipt, returns, etc. in accordance with the State and standards set by Cresco Labs.    

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

• Two years experience in general production, preferably a regulated field producing for human consumption. Or, any satisfactory combination of experience and training which clearly demonstrates the ability to perform the above-described duties. 

• Demonstrated experience training, leading and/or mentoring junior staff or new hires preferred. 

• Advanced knowledge of plant cultivation and cultivation facility operations    

• Excellent multi-tasking and organizational skills 

• Computer literacy in word processing, point-of-sale systems, and data base management    

• Knowledge of medical cannabis policy and law  

• Proficiency in windows-based software and point of sale applications.    

• Requires work around plant material, which could include exposure to plant pollen and/or dust. 

• Requires ability to sit, stand, kneel, and/or do repetitive actions with your hands for long periods of time.  

• Requires ability to lift up to 50 lbs to torso level. 

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

As a Senior Software Engineering Manager with a strong technical background in building and architecting large-scale, multi-tenant SaaS platforms, you possess the leadership maturity to manage both individual contributors and other managers, effectively translating organizational strategy into clear, actionable team goals. You are specifically driven to manage and grow high-performing engineering teams within the SaaS platform organization in Bangalore. Your expertise includes deep proficiency in high-load distributed systems and a hands-on understanding of modern cloud-native infrastructures.

What You Will Do

Build and Grow Our Bangalore Agent Platform Team: Be the key leader for our Agent Platform engineering team in India. Own the hiring, management, and retention of a high-performing team, ensuring local growth aligns with our global SaaS platform objectives.

Lead Execution and Delivery: Drive the execution of team projects. Partner with individual contributors (ICs) to define tasks, track progress, and ensure timely, high-quality delivery. Manage cross-team dependencies and coordinate with stakeholders (Product Managers, senior leadership) to guarantee alignment and clear communication on status and risks.

Drive Technical Strategy: Oversee the architectural design and scalability for Agent Platform SaaS services. These services interact with millions of agents and process billions of daily requests. You will rely on designated Tech Leads and senior team members for detailed design and architecture.

Ensure Cross-Functional Success: Partner with the Agent Platform engineering leadership, Product Management, and UX designers to strategically define system requirements and deliver features that protect millions of endpoints worldwide.

Foster a World-Class Engineering Culture: Promote engineering excellence and continuous learning. Coach individuals and other managers to achieve their professional goals.

Engage with Leadership: Regularly interact with senior management and executives to influence decisions and gain acceptance for strategic initiatives.

Manage a Hybrid Team: Lead the local Bangalore team within our hybrid work model, fostering strong in-person collaboration and a powerful sense of belonging.

What Experience or Knowledge You Should Bring

Leadership Track Record: A minimum of 8 years of progressive software engineering experience, including 3–5 years of increasing managerial responsibility, with at least 2 years operating at the Manager level or higher.

Management & Development Expertise: Proven success in managing, hiring, mentoring, and developing high-performing engineering teams of 8+ direct reports, including experience managing internationally distributed and cross-functional IC teams.

Core Technical Skills: Strong proficiency and an ability to lead technical strategy in major programming languages such as Java, Go, or Python, coupled with a deep understanding of software design principles.

Distributed Systems & Cloud Scale: Deep background in architecting, building, and scaling high-load, resilient distributed systems within public cloud platforms like AWS or GCP.

Infrastructure & Observability: Solid hands-on and strategic experience with modern infrastructure tooling, including Docker, Kubernetes, Helm, and infrastructure-as-code (e.g., Terraform). Experience with modern monitoring and observability stacks is a strong plus.

Product Delivery & CI/CD: Comprehensive knowledge of the entire SaaS product development lifecycle. Expert-level understanding and application of modern CI/CD practices and tooling, such as Github Actions or ArgoCD, to drive engineering velocity and quality.

Strategic Communication & Business Acumen: Exceptional verbal and written communication, negotiation, and stakeholder management skills. Demonstrated ability to translate complex technical decisions into clear business outcomes and align engineering execution with broader company strategy.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.
• LinkedIn Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Sodexo food coupons.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

About the Role

We are seeking a Senior AI Engineer with a strong foundation in Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs) Large Language Models (LLMs). We are also looking for him to be a full-stack Engineer with hands-on experience with mobile front-end hands-on experience with mobile front-end Flutter, React-native. This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.

Key Responsibilities

• Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
• Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Hands on experience with mobile front-end Flutter, React-native etc.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 5+ years of overall experience mobile front-end Flutter, React-native etc
• 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
• Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Experience in developing LLM-powered agents, copilots, or task bots.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance including your parents with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal.And many more…..

G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.

About The Position

We’re building GIA - the AI for General Counsel, in-house legal teams, and HR teams — helping them operate faster and smarter before problems escalate. GIA is structured like a Startup that demands extreme ownership and relentless speed and a bias for shipping over talking. If you need permission to act, this isn't for you.

This is a co-founder-level PM role reporting into the Head of Product and Engineering: you own the product end-to-end, talk to customers daily, design solutions, write specs, and ship. No swim lanes, no waiting for permission.

What You Will Do:

• Extreme Product Ownership — discovery, design, specs, delivery, outcomes
• Build the product-led sales engine — onboarding, activation, upgrade triggers, PQLs, viral loops
• Drive integrations — CLMs, HRIS, doc management, email; define data models and API contracts with particular focus on permission models and ethical walls.
• Run product research — competitive analysis, user interviews, workflow mapping, market sizing; synthesize into clear product direction
• Talk to GCs, legal ops, and HR leaders constantly — build conviction from real workflows, not feature requests
• Ship fast — cut scope, measure what matters, kill what doesn’t
• Work across time zones — distributed team across US, India, Ireland, Poland

What we're looking for:

Minimum Requirements:    

• Engineer background — you can read code and reason about systems
• Strong product sense and design ability — problem to wireframe to shipped product
• Product research chops — you run discovery, synthesize qualitative and quantitative inputs, and turn research into roadmap decisions
• Agentic AI fluency — you use Cursor agents, Claude, and similar tools daily
• Product-led sales experience — you’ve built self-serve funnels, activation flows, and usage-based sales signals
• Extreme ownership and speed — you default to action and own outcomes
• Relentless curiosity — contract law, Kubernetes, behavioral psychology, whatever it takes
• Design taste and chops — You can wireframe and develop mid fidelity prototypes where required without a designer
• Core Data Analysis Skills — you can work with product usage data, compliance datasets, and qualitative research to generate insights. 
• Process experience - you can translate real-world HR and legal processes into the product by encoding workflows and business logic

Preferred Qualifications:

• Past founder or co-founder
• Legal or HR domain experience, particularly GC or legal ops
• Integration experience — PRDs covering auth, data mapping, error handling, sync strategies

How we evaluate

• Critique our product live — directness and taste over diplomacy
• Solve a real problem we’re facing — on the spot
• Whiteboard an integration architecture
• Show us something you’ve built that you’re proud of

G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.

About The Position:

We’re building GIA — AI for General Counsel, in-house legal teams, and HR teams. GIA is a startup that demands extreme ownership, relentless execution, and zero tolerance for waiting on someone else to make the call. This role sits at the intersection of data science, data engineering, and product analytics. You build the pipelines, run the analysis, train the models, and — most importantly — tell us what the data means for the product. Not dashboards for the sake of dashboards. Insights that change what we build next.

What You Will Do:

• Build and own data infrastructure — pipelines, warehousing, ETL/ELT, data quality; make sure the foundation is solid
• Analyze product usage and user behavior — identify patterns, segment users, surface what matters from the noise; think like a product person, not just a data person
• Build models that ship — LLM-based systems, traditional ML (classification, clustering, NLP), evaluation frameworks; whatever the problem needs
• Define and track the metrics that matter — activation, retention, engagement, PQLs; connect data to product and GTM decisions
• Run experiments and measure impact — A/B tests, causal analysis, cohort studies; rigorous but fast
• Turn data into product conviction — you don’t just hand off charts, you tell the team what to do and why

What We Are Looking For:  

Minimum Requirements: 

• 5+ years across data science, data engineering, and analytics — you do all three, not just one
• Strong SQL and Python — complex queries, data modeling, scripting, analysis; this is your daily toolkit
• Databricks or equivalent modern data platform experience (Snowflake, BigQuery)
• LLM experience — fine-tuning, prompt engineering, embeddings, RAG, evaluation; not just API calls
• Traditional ML depth — classification, regression, clustering, NLP, feature engineering; you pick the right tool for the problem
• Product mindset — you filter signal from noise, understand user behavior, and connect analysis to product decisions
• Pipeline engineering — you build reliable, scalable data pipelines, not notebooks that break in production
• Clear communicator — you present findings to non-technical stakeholders with clarity and conviction

Preferred Qualifications: 

• Experience at an early-stage startup or as a founding data hire
• Built product analytics from scratch — instrumentation, event taxonomy, dashboards, self-serve reporting
• Legal or HR domain experience
• Experience with LLM evaluation and observability (tracing, scoring, drift detection)
• Familiar with dbt, Airflow/Dagster, Spark, or similar orchestration and transformation tools

How we evaluate

• Give you a real dataset and ask what you’d do with it — we want product thinking, not just technical chops
• Walk us through a time your analysis changed a product decision
• Design a data pipeline or model architecture on the whiteboard
• Show us how you’d instrument and measure a new feature from scratch

Interested? Reach out with an example of an insight you uncovered that changed what a team built.

About The Position:

We’re building GIA — AI for General Counsel, in-house legal teams, and HR teams. GIA is a startup that demands extreme ownership, relentless execution, and zero tolerance for waiting on someone else to make the call. This is a staff-level role reporting to the Head of Product and Engineering where you own entire surfaces of the product — UI, backend, AI, infrastructure — and ship them end-to-end. You write code every day, raise the bar for the team, and treat the product like it’s yours.

What You Will Do:

• Build across the entire stack — React/Next.js frontends, Go and Python services, AI/LLM pipelines, infrastructure
• Own product surfaces end-to-end — you take a problem from design through architecture through shipped, working software
• Build and ship AI agents — design agent architectures, prompt systems, tool-use patterns, evaluation frameworks
• Make infrastructure decisions — deployment, observability, sandboxing, scaling; you build what the team runs on
• Bring product and design sense — you don’t just implement specs, you push back on what’s wrong and propose what’s better
• Mentor and raise the bar — set technical standards, review code with rigor, make the engineers around you faster and sharper
• Ship fast across time zones — distributed team across US, India, Ireland, Poland; you unblock yourself and others

What We Are Looking For:  

Minimum Requirements: 

• 7+ years of engineering experience with depth across frontend, backend, and infrastructure
• Strong in Python, Go, and React/Next.js — you ship production code in all three
• AI-native — you build with LLMs, agents, and tools like Cursor daily, not experimentally
• Systems thinker — you design APIs, data models, and distributed architectures that hold up under pressure
• Product sense — you understand why something should be built, not just how
• Design sensibility — you can spot a bad UX, sketch a better one, and ship it without waiting for a designer
• Extreme ownership and speed — you default to action, own outcomes, and never block on someone else
• Technical leadership — you’ve mentored engineers, set standards, and made teams better

Preferred Qualifications: 

• Past founder or early-stage engineer (employee 1–15)
• Experience building AI agents or agentic systems in production
• Legal or HR domain experience — you understand the workflows you’re building for
• Integration experience — connecting to CLMs, HRIS, doc management, email systems

How we evaluate

• Live coding or system design — a real problem, not leetcode trivia
• Walk us through something you’ve architected and shipped end-to-end
• Critique our product and codebase — tell us what you’d change and why
• Show us how you use AI tools in your own workflow

Interested? Reach out with a link to something you’ve built — a repo, a product, a side project — and tell us why it matters.

Application Database Administrator (SQL Server DBA)

Clinical Architecture is seeking an experienced Application Database Administrator (SQL Server DBA) to join our team in the Indianapolis, IN area. This role blends hands-on SQL development and developer support (approximately 80%) with core DBA responsibilities (approximately 20%). The DBA will play a critical role in delivering high-quality, reliable healthcare data solutions by partnering closely with Application Developers, Cloud Engineers, Implementation Architecture, and DevOps teams.

The ideal candidate is an experienced SQL Server professional who thrives in a collaborative development environment. This individual will write, review, and optimize SQL, assist with schema design, improve query performance, and promote best-practice coding standards across multiple systems. The role also includes DBA responsibilities such as managing on-premises SQL Server environments and cloud-based SQL platforms (including Amazon RDS, Azure Managed SQL Instances, and Google Cloud SQL), with a focus on availability, security, and overall platform reliability. Experience must be rooted in 3-tier application development with real-time, high-volume transactional (OLTP) workloads — not ETL pipelines or data warehouse environments.

• This role is required to be on site at our Carmel, IN Headquarters. Clinical Architecture offers ample flexibility to accommodate a healthy work-life balance. 
• Applicants must be authorized to work in the U.S. without sponsorship. 
• Providing false information on application questions may result in automatic dismissal of your application. Please answer questions truthfully and to the best of your ability.

Responsibilities 

Database Administration:

• Install, configure, and maintain on-prem SQL Server instances (SQL Server 2016 and newer).
• Administer Cloud Service Provider SQL Server instances, including monitoring, snapshots, and instance configuration.
• Manage SQL Server Agent jobs, linked servers, Database Mail, and other database platform components.
• Implement, monitor, and continuously improve backup and disaster recovery strategies.

Performance and Reliability:

• Troubleshoot performance issues using execution plans, Query Store, and dynamic management views (DMVs).
• Identify and resolve blocking, deadlocks, and query performance bottlenecks.
• Design and maintain effective indexing and statistics strategies.

SQL Development:

• Write, review, and optimize stored procedures, functions, views, and inline SQL used by application teams.
• Collaborate with developers to improve schema design, query patterns, and performance optimization.
• Promote and enforce SQL coding standards and best practices.

Security and Compliance:

• Apply least‑privilege security models and manage database access and permissions.
• Support compliance initiatives such as HIPAA, SOC 2, and HITRUST, as required.
• Ensure encryption, auditing, and secure connectivity are consistently implemented.

Monitoring and Automation:

• Configure monitoring and alerting for both on-prem SQL Server and Amazon RDS instances.
• Automate routine tasks using T‑SQL or PowerShell.
• Assist with capacity planning and system lifecycle management.

Qualifications and Experience 

• 5+ years of experience as a SQL Server DBA in a production environment.
• Strong experience with SQL Server installation, configuration, and ongoing maintenance.
• Hands‑on experience with Amazon RDS for SQL Server.
• Advanced T‑SQL skills, including writing and optimizing complex queries.
• In-depth knowledge of indexing strategies, execution plans, and performance tuning.
• Experience with database security, backup and restore processes, and high availability/disaster recovery (HA/DR) methodologies.
• Proven ability to collaborate across Engineering, IT, and Product teams.

• Spotting patterns is second nature to you, and you’re always ready to highlight areas that can be improved
• Juggling priorities to ensure that members get the best support experience
• Getting to grips with tough banking challenges like unfamiliar transactions, missing payments, and direct debits
• Enjoy helping mentor new members of the team, and support them with your wisdom and experience and help out with common back office tasks

• Excellent spoken and written English skills
• You have 1-4 years of experience as a customer support associate
• You understand and have worked with customer satisfaction metrics
• You can attend to all the customer queries, comments and concern posted to the company social media platform
• You can review all social media posts for accuracy
• Ability to use industry tools like Kustomer, Zendesk, GSuite, and Jira
• You are confident talking with our customers to help them get the most from their current account
• Passion for problem-solving and finding solutions to difficult situations
• You are always on the lookout for recurring issues and help create new workflows to solve them
• Strong organisational skills
• Experience working in customer service for the finance industry
• Excellent computer skills
• You have some experience working in startups

• Competitive salary
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• 15 days of Privilege leaves
• 12 days of Casual leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D activities

ABOUT THE TEAM

As a Premium Accounts Manager, you will be part of an exclusive team that delivers high-level support to our Premium members. This is not a standard customer service role—our Premium team serves as both trusted advisors and dedicated account managers, ensuring a seamless, personalized, and exceptional member experience at every interaction.

ABOUT THE ROLE

• Provide high-touch, tailored support to Premium members primarily over phone, with additional interactions via chat and email when required.
• Manage complex and sensitive cases with ownership, accuracy, and a solutions-first mindset.
• Deliver a 5-star experience aligned with Premium standards, measured by CSAT, TPH, and QA excellence.
• Build long-term relationships with members by demonstrating in-depth product and process knowledge and anticipating their needs.
• Serve as a knowledge hub and mentor for colleagues, sharing expertise and guiding new joiners through best practices
• Contribute to the continuous improvement of Premium processes by sharing feedback, identifying gaps, and helping shape workflows.
• Stay aligned with industry trends and member expectations to reinforce Premium as a supreme-class service offering.
• Work flexible shifts (including weekends and holidays) while maintaining top-level performance and professionalism.
  
  

WHAT WE'RE LOOKING FOR:

• Min. 3 years of experience in premium support, account management, or client-facing roles where service excellence is/was a priority.
• Strong problem-solving skills with the ability to navigate complex cases and think beyond standard procedures.
• Exceptional communication skills (written and verbal) with near-native or native-level English.
• High attention to detail and ability to manage multiple tasks while maintaining top-class service standards.
• A proactive, empathetic, and professional attitude that represents our Premium brand promise.
• Proven ability to work collaboratively in a high-performance environment.

It would be considered as an asset if you have:

• Background in FinTech, SaaS, or fast-paced technology companies.
• Experience with membership-based services or subscription models.
• Exposure to analytics or reporting, enabling insights into member behavior and engagement.

WHY JOIN THE PREMIUM TEAM?

• Work in an elite, high-performing team serving our most valued members.
• Be empowered to act as a trusted advisor, not just a support agent.
• Gain exposure to advanced cases, processes, and account management practices.
• Grow your expertise through dedicated training, coaching, and leadership opportunities.
• Contribute directly to shaping Premium service standards and mentoring new talent.
  
  

WHAT YOU'll GET IN RETURN:

• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• WFH Setup allowance
• Family & Friendly Leaves
  
  

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

About the Role

We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.

As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.

This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Java11, JUnit5,
• Docker and Kubernetes
• AWS, GCP
• Terraform, WireMock, RestAssured
• Bazel, BuildKite

What You’ll Do

• Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
• Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
• Write high-signal test strategies for complex features and automate them across multiple environments.
• Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
• Build internal tools and proof-of-concepts using AI/LLM technologies to:
• Accelerate debugging and failure triaging
• Generate high-quality test scenarios
• Detect flaky patterns or regression risks
• Improve log analysis and root-cause identification
• Enhance developer and QA productivity
  
  
• Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
• Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
• Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
• Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.

Skills We’re Looking For

• 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
• Deep understanding of OOP principles and strong proficiency in Java.
• Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
• Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
• Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite.
• Experience working with backend automation frameworks.
• Knowledge of database testing and ETL/data pipeline validation is a strong plus.
  
  AI & Productivity Engineering

• Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
• Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
• Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation.
• Experience streamlining workflows using AI to improve measurable engineering productivity.
• Comfortable feeding, tuning and orchestrating AI agents to solve real engineering problems.
• Strong outcome orientation, measures success through impact, reliability gains and velocity improvements rather than output volume.

#LI-HYBRID #LI-VM1

Overview

Join our team as an impact-focused engineer where you will leverage your software engineering expertise to develop scalable and production-grade solutions across diverse platforms. Collaborating seamlessly with cross-functional product engineering teams, you will drive innovation and maximize impact for stakeholders and billions of users worldwide. Your role is critical in merging business needs with cutting-edge technology to create meaningful and transformative digital experiences.

Responsibilities

• Collaborate with product, design, operations, and infrastructure teams to build innovative application experiences.
• Develop reusable software components to interface with hyperscaler back-end platforms.
• Analyze and optimize code to enhance quality, efficiency, and performance.
• Lead complex technical or product initiatives and provide technical guidance to peers.
• Architect efficient and scalable systems for complex applications.
• Identify and address performance and scalability challenges.
• Work across multiple coding languages and technologies, ensuring robust and maintainable solutions.
• Establish ownership of components, features, or systems with comprehensive end-to-end understanding.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of programming experience in a relevant language.
• Experience in building maintainable and testable code bases, including API design and unit testing.
• Proven ability to set technical direction for a team, drive consensus, and foster successful cross-functional partnerships.
• Experience with scripting languages such as Python, JavaScript, or Hack.
• Proficiency in programming languages like C, C++, Java, Swift, or Kotlin.
• 5+ years of experience building large-scale applications or equivalent expertise.
• Proven track record in building and shipping high-quality, reliable software solutions.
• Experience enhancing quality through code reviews, testing, monitoring, and proactive improvements.

Preferred Qualifications

• Exposure to architectural patterns of large-scale software applications.
• Demonstrated project completion at large scope with high-quality outcomes.
• Ability to integrate AI tools to optimize workflows and drive measurable impact, such as efficiency gains and quality improvements.
• Ongoing development in AI skills, including prompt engineering, agent orchestration, and keeping abreast with emerging AI technologies.

Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role - Staff Engineer – Software Development.

Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and increasingly, AI-powered capabilities.

We are seeking a Staff Engineer – Software Engineering to join our SaaS Platform team. Staff Engineers at Aviatrix operate at the intersection of technical depth and cross-team influence. You will drive the design and delivery of complex backend systems — including AI-augmented data pipelines and agentic AI integrations — while raising the technical bar across the organization. This role is ideal for an engineer who is deeply technical, thrives on solving ambiguous problems, and is ready to shape both the platform’s architecture and the team’s engineering culture.

Position Responsibilities

Architecture & Technical Leadership

• Lead the architecture and delivery of complex backend platform features spanning multiple microservices; break down large, ambiguous projects into well-scoped sub-projects and guide senior engineers through execution.
• Define technical standards, patterns, and best practices for backend microservices development across the team — covering API design, service communication, data modeling, and reliability.
• Own the architectural design of AI-augmented data pipelines: integrating model inference, agentic workflows, and LLM-based processing steps into streaming and batch data flows on AWS.
• Evaluate and recommend agentic AI frameworks and tooling (such as LangChain, LlamaIndex, Amazon Bedrock Agents, or equivalent) for use in platform components; establish integration patterns the broader team can follow.
• Write and present comprehensive design documents and technical proposals that articulate complex problems, solution trade-offs, and long-term platform direction.
• Drive improvements to Aviatrix’s product and security posture, including contributions outside your immediate project area.

AI-Augmented Data Pipelines

• Design and implement data pipelines that incorporate AI/ML model inference as a first-class processing step, enabling intelligent enrichment, classification, anomaly detection, and summarization of platform telemetry and events.
• Architect agentic AI workflows that operate autonomously within data pipelines — orchestrating tool use, retrieval-augmented generation (RAG), and multi-step reasoning to drive platform automation.
• Integrate large language models (LLMs) and foundation models via managed APIs (Amazon Bedrock, OpenAI, Anthropic) and self-hosted inference endpoints into backend services and pipeline stages.
• Build robust prompt engineering and context management layers that make AI model calls reliable, observable, cost-efficient, and safe in a production SaaS context.
• Establish guardrails, evaluation frameworks, and monitoring strategies for AI components in pipelines — including output validation, hallucination detection, latency tracking, and cost controls.
• Collaborate with data and ML teams to define feature stores, embedding pipelines, vector database integrations (e.g., Amazon OpenSearch, pgvector), and model lifecycle management practices.

Backend & Microservices Engineering

• Design and implement high-performance, production-grade microservices in Golang using gRPC and REST; ensure services are secure, observable, and operationally resilient.
• Drive the design of event-driven architectures using AWS data pipeline services — Kinesis, MSK (Kafka), Glue, Step Functions, and EMR — to support real-time and batch processing at scale.
• Enforce strong security and networking practices: AWS VPC architecture, IAM least-privilege access, PrivateLink for private service connectivity, and encryption in transit and at rest.
• Lead platform-wide reliability initiatives: SLO definition, distributed tracing, structured logging, alerting, and chaos engineering practices.
• Conduct rigorous design and code reviews; set a high bar for correctness, testability, and operational readiness.

Team Influence & Collaboration

• Serve as a technical anchor for the team — raising engineering quality through mentorship, design guidance, and a culture of rigorous technical thinking.
• Collaborate with product management and leadership to align technical roadmap investments with business priorities and customer needs.
• Partner with senior engineers across teams to drive consistency in platform architecture and avoid redundant solutions.
• Provide expert guidance during escalations and critical production incidents; drive root-cause analysis and long-term remediation.
• Contribute to recruiting and interviewing; help define bar-raising standards for backend and AI engineering roles.

Requirements

Experience & Education

• 7–10+ years of professional software engineering experience, with a strong track record of technical leadership on backend systems.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Demonstrated experience designing and operating SaaS or PaaS products at scale, with multi-tenancy and high-availability requirements.
• Strong foundation in data structures, algorithms, operating systems, and distributed systems.
• Experience working in fast-paced, high-growth technology companies with geographically distributed teams.

Backend & Microservices

• Strong proficiency in Golang; experience building production-grade gRPC-based microservices.
• Deep understanding of distributed systems: consistency, fault tolerance, service discovery, back-pressure, and distributed tracing.
• Expertise in RESTful and gRPC API design, with a strong sense of API contracts, versioning, and backward compatibility.
• Experience building event-driven architectures with message queue and streaming systems (Kafka/MSK, Kinesis, SQS/SNS).
• Strong understanding of elegant and robust system design; ability to evaluate and articulate key engineering trade-offs.

Agentic AI & LLM Integration

• Hands-on experience integrating large language models (LLMs) and foundation models into production backend systems via managed APIs or self-hosted inference.
• Practical knowledge of agentic AI concepts: tool use, autonomous multi-step reasoning, agent orchestration, and human-in-the-loop patterns.
• Experience with at least one agentic AI framework or platform (e.g., LangChain, LlamaIndex, Amazon Bedrock Agents, AutoGen, or similar).
• Familiarity with retrieval-augmented generation (RAG): embedding models, vector databases (OpenSearch, pgvector, Pinecone), and context retrieval strategies.
• Understanding of prompt engineering principles: structured prompts, few-shot examples, chain-of-thought reasoning, and output validation.
• Experience designing AI guardrails and evaluation pipelines to ensure reliability, safety, and cost-efficiency of LLM components in production.

Data Pipelines

• Proven experience designing and operating large-scale data pipelines for real-time streaming and batch workloads.
• Strong working knowledge of AWS data pipeline services: Amazon Kinesis (Data Streams & Firehose), AWS Glue, Amazon MSK, AWS Step Functions, and Amazon EMR.
• Ability to embed AI/ML inference steps — including LLM calls, embedding generation, and model scoring — as processing stages within data pipelines.
• Familiarity with pipeline observability: data lineage, quality monitoring, SLA management, and alerting.
• Experience with schema management, data quality enforcement, and data catalog practices (e.g., AWS Glue Data Catalog).

AWS & Cloud Infrastructure

• Deep experience with AWS as a primary cloud platform; strong understanding of high-availability, multi-AZ deployment patterns.
• Solid knowledge of AWS networking and security: VPC architecture, IAM roles and policies, AWS PrivateLink, Transit Gateway, and security groups.
• Proficiency with Kubernetes (EKS), including workload scheduling, RBAC, networking (CNI), and cluster operations.
• Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation) and CI/CD pipelines for cloud-native backend services.
• Familiarity with Amazon Bedrock or equivalent managed AI/ML platforms for model deployment and inference at scale.

Nice to Have

• Experience fine-tuning or adapting foundation models for domain-specific tasks.
• Familiarity with ML frameworks (PyTorch, HuggingFace Transformers) and model serving infrastructure (SageMaker, TorchServe).
• Background in network security, cloud networking, or SASE/SD-WAN technologies.
• Experience with multi-cloud environments (Azure, GCP) alongside AWS.
• Contributions to open-source AI, data engineering, or cloud-native projects.

Interpersonal & Communication

• Excellent written and verbal communication; able to produce clear technical documents and present confidently to engineering and product leadership.
• Demonstrated ability to lead through influence, build consensus across teams, and drive outcomes without direct authority.
• Team player who thrives in collaborative, geographically distributed environments and startup-paced cultures.

Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role – Senior Member of Technical Staff – Software Development

Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and AI-powered capabilities.We are seeking a Senior Member of Technical Staff (Sr MTS) – Software Development to join our SaaS Platform team. This role is ideal for a backend engineer who has moved beyond writing individual features and is ready to take meaningful ownership of platform components, contribute to technical design, and start influencing the direction of the team. You will work alongside Staff and Principal Engineers on building microservices, data pipelines, and AI-integrated backend systems on AWS — developing both your technical depth and your ability to lead within a team.

Position Responsibilities: 

Feature Development & Ownership

• Take end-to-end ownership of backend features and services — from requirements and design through implementation, testing, deployment, and monitoring.
• Design and implement production-grade microservices in Golang, following team standards for gRPC and RESTful API patterns.
• Contribute meaningfully to technical design discussions; author design documents for features and components you own, incorporating feedback from senior engineers.
• Write well-tested, maintainable code; champion testing practices including unit, integration, and end-to-end tests within your feature area.
• Participate in on-call rotations; debug and resolve issues in distributed backend services and contribute to post-incident reviews.

Data Pipelines & AI Integration

• Build and extend data pipeline components that process, enrich, and route platform telemetry and events using AWS streaming and batch services (Kinesis, MSK, Glue, Step Functions).
• Integrate AI and LLM capabilities into backend services and pipeline stages — including model inference calls, output parsing, and result handling — under the guidance of Staff Engineers.
• Implement agentic AI workflow components such as tool-use handlers, retrieval-augmented generation (RAG) steps, and prompt orchestration layers as part of broader pipeline designs.
• Contribute to the reliability and correctness of AI pipeline components through thorough testing, output validation, and adherence to team guardrail standards.

Platform Reliability & Operations

• Ensure backend services you build are observable from day one: structured logging, metrics, distributed tracing, and alerting are treated as part of the definition of done.
• Apply AWS networking and security best practices in the services you build: secure IAM roles, VPC-aware service communication, and encryption in transit and at rest.
• Proactively identify and address reliability gaps, performance bottlenecks, and technical debt in platform components you own.
• Support deployment of services on AWS using team CI/CD pipelines and infrastructure-as-code tooling.

Collaboration & Team Contribution

• Collaborate effectively with Staff and Principal Engineers, product managers, and peers across a geographically distributed team.
• Conduct thorough code reviews and provide constructive, actionable feedback; help MTS engineers grow through mentorship on your area of expertise.
• Document APIs, service behavior, data flows, and runbooks clearly so teammates can understand, operate, and evolve your work.
• Participate actively in planning, estimation, and sprint ceremonies; raise technical risks and dependencies early.

Requirements

Experience & Education

• 3+ years of professional software engineering experience in backend development.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Solid foundation in computer science fundamentals: data structures, algorithms, and operating systems.
• Demonstrated experience owning and shipping backend features or services in a production cloud environment.
• Experience working in collaborative, agile engineering teams; comfortable operating in fast-paced, high-growth environments.

Backend & Microservices

• Proficiency in Golang or a comparable strongly typed backend language; willingness to work primarily in Golang.
• Working understanding of microservices architecture: service boundaries, inter-service communication via REST and gRPC, and the trade-offs of distributed systems.
• Experience designing and implementing APIs with attention to correctness, reliability, and ease of use by other services.
• Familiarity with event-driven patterns and messaging systems such as Kafka, Kinesis, or SQS/SNS.
• Strong testing practices: unit, integration, and contract testing for backend services.

Agentic AI & LLM Integration

• Working knowledge of large language models (LLMs) and how they are integrated into backend systems via API calls (e.g., Amazon Bedrock, OpenAI, or Anthropic APIs).
• Familiarity with agentic AI concepts: tool use, multi-step reasoning, and agent orchestration frameworks such as LangChain, LlamaIndex, or Amazon Bedrock Agents.
• Ability to implement prompt templates, manage context windows, and handle model outputs reliably within backend service logic.
• Understanding of retrieval-augmented generation (RAG) patterns: embedding generation, vector store queries, and context injection into prompts.
• Awareness of production considerations for AI components: output validation, error handling, latency management, and cost awareness.

Data Pipelines

• Practical experience building or contributing to data pipelines for real-time or batch processing workloads.
• Familiarity with AWS data pipeline services: Amazon Kinesis, AWS Glue, Amazon MSK (Kafka), AWS Step Functions, or Amazon EMR.
• Understanding of how to embed AI/ML model inference calls as processing steps within a data pipeline.
• Ability to add pipeline observability: tracking throughput, latency, error rates, and data quality metrics.

AWS & Cloud Infrastructure

• Hands-on experience deploying and operating backend services on AWS; familiarity with core services including EC2, ECS/EKS, S3, RDS, and SQS/SNS.
• Basic understanding of AWS networking and security: VPC, security groups, IAM roles and policies, and encrypted communications.
• Experience with containerization (Docker) and deploying services in container-based environments.
• Comfort working with CI/CD pipelines, Git-based workflows, and infrastructure-as-code tooling (Terraform or AWS CDK is a plus).

Nice to Have

• Experience with Kubernetes (EKS) for container orchestration.
• Hands-on use of Amazon Bedrock or equivalent managed AI platforms for LLM inference.
• Experience with vector databases or embedding stores (OpenSearch, pgvector, Pinecone).
• Exposure to AWS managed data services such as Amazon Redshift, DynamoDB, or Aurora.
• Background in network security, cloud networking, or multi-cloud environments.
• Interest in or exposure to ML model lifecycle management and MLOps practices.

Interpersonal & Communication

• Clear written and verbal communication; able to write design documents, articulate technical decisions, and give constructive code review feedback.
• Collaborative team player who works well in cross-functional, geographically distributed teams.
• A growth mindset — eager to deepen expertise, take on new challenges, and mentor peers as you develop.

SCHEDULE 

Monday to Friday, 8am - 4:30pm

JOB SUMMARY

Cresco Labs is seeking a Cultivation Agent to join our facility. The Cultivation Agent is responsible for providing on-site cultivation for one or more medical cannabis gardens. Completion of tasks assigned by the Cultivation Team Lead to monitor and maintain plant production and health. Maintain quality control measures to ensure high quality product. Maintain organization, cleanliness and efficiency of production area. Main duties will entail carrying out day-to-day plant care including watering, pruning, harvesting and trimming. Must monitor and maintain plant production and quality control measures in accordance with the commonwealth and standards set by Cresco Labs.

CORE JOB DUTIES 

Plant Care:

• Ensure plant health by pruning, topping, trimming, according to Cresco Labs policy, as well as any other tasks required.
• Moving plants in an orderly, time efficient manner from one area of the cultivation facility to another
• Transplanting smaller plants into bigger pots
• Harvesting Plants in an orderly time efficient manner
• Bucking wet or dry plants after harvest

Facility Cleaning:

• Perform all assigned duties required to ensure a clean and safe cultivation facility, including the safe disposal of waste.
• Responsible for the cleanliness of all cultivation equipment and tools including light reflectors, containers, mixing tools, application tools, and ventilation equipment.

Reports and Documentation:

• Assist the Cultivation Manager with tracking plants from birth to harvest by ensuring proper and accurate documentation for applicable activities.
• Ensure accurate documentation of all plant tracking numbers, lot numbers, and all other applicable information.

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

• Two years experience in general production, preferably a regulated field producing for human consumption. Or, any satisfactory combination of experience and training which clearly demonstrates the ability to perform the above-described duties.
• Effective time-management skills and ability to multi-task
• Ability to perform the job duties in indoor and greenhouse climates of varying weather conditions.
• Ability to work in a fast-paced, changing and challenging environment.
• Requires work around plant material, which could include exposure to plant pollen and/or dust.
• Requires ability to sit, stand, kneel, and/or do repetitive actions with your hands for long periods of time.
• Requires ability to lift up to 50 lbs to torso level.

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.

As a Senior Staff Engineer you’ll: 

• Define the architecture for Tide’s agentic platform
• Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability 
• Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
• Set standards for reliability, safety, scalability, and developer experience
• Provide technical leadership across teams and unblock critical decisions
• Implement cost-management and routing logic to optimize LLM spend across different providers
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories 

WHAT WE ARE LOOKING FOR:

• Deep experience building platform or infrastructure systems at scale
• Strong judgement across APIs, distributed systems, data, and cloud-native architecture
• Track record of leading complex cross-team technical problems
• Experience integrating third-party platforms without losing control of core architecture
• Strong understanding of reliability, security, and observability
• Experience with AI platform components is valuable, but not essential
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable 

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

Who we are: 

Welcome to Archipelago, where we're redefining the landscape of Commercial Property and Casualty Insurance with the most powerful AI Agent that helps drive meaningful business decisions and value for their clients as easily and efficiently as possible. By equipping brokers with the Agent, Hub, and Platform, we empower our customers to navigate the complexities of Property and Casualty Insurance with confidence and control.  

Archipelago was founded in 2018 and serves many of the world’s largest commercial P&C brokers and their clients, representing over 500 of the world's largest and most dynamic portfolios to improve their data and better represent their risks. Archipelago has achieved Series B funding from industry-leading investment partners including Scale, Canaan Partners, Ignition Partners, Prologis Ventures, Stone Point Capital, and Zigg Capital.   

Join us at Archipelago and be part of a team dedicated to enabling Commercial Property and Casualty Insurance brokers with AI agents. We're seeking individuals with a passion for innovation, a commitment to excellence, and a drive to further elevate and empower our customers.    

If you're ready to make a meaningful impact and be part of a dynamic, forward-thinking company, we invite you to explore our job opportunities and join us on our journey to keep data accurate and workflows seamless.

Who you are: 

Archipelago is looking to add Analysts to our team. Kindly read the skill-set requirements before applying.  

Responsibilities:  

• Meeting and exceeding customer delivery Service levels assigned 

• Responsible to keep yourself abreast of schema docs, Target Based Transformation and all updates that require you to perform at a high level 

• Contribute with feedback to internal technology and platform teams 

 Qualifications:  

• Around 2 - 4 years' experience in Risk Analytics 

• Good knowledge of Commercial Property Insurance 

• Degree in Mathematics, Engineering or Insurance 

• Automation adoption (ML/AI) mindset is essential 

• Strong Command of MS Excel 

 Bonus Points:  

• Experience with large Data Processing 

• Good to have SQL, VBA, Tableau, Power BI, etc. 

 Benefits: 

We offer excellent benefits regardless of where you are in your career. Providing our employees the means to lead healthy, balanced lives results in the best possible work performance. 

*All benefits are subject to change at management’s discretion. 

About the Team At Business Technology, we use Appian to run Appian. We are launching our first internal AI team to build the foundation for how our global company works. This team won't just use AI, they will build the brain of the enterprise, spanning everything from predictive intelligence in our data warehouse to the GenAI infrastructure that powers our internal autonomous agents.

We are hiring a founding group of engineers to kickstart this mission. As an AI Engineer on this team, you won’t be maintaining legacy systems; you’ll be building from the ground up. You will own the full spectrum of AI: crafting predictive ML models to find insights in our data warehouse and architecting GenAI systems that allow any employee to interact with enterprise knowledge through intelligent agents.

If you want to be part of the original team that defines internal AI for a leading automation company, this is your moment.

PLEASE NOTE: This is a midlevel role and is aimed at people with 3+ years experience

What you’ll do:

• Build the AI Platform: Design, deploy, and scale GenAI infrastructure on GCP Vertex AI (preferred) or AWS Bedrock.
• Build & Operate MCP Servers: Develop and maintain Model Context Protocol (MCP) servers that expose enterprise systems (databases, APIs, internal tools) as structured, AI-consumable capabilities.
• Design the Tool Layer: Build the tool registry and invocation framework that allows agents to interact with internal systems safely and reliably including schema design, access controls, and error handling.
• Engineer Agent-to-Agent Infrastructure: Architect the communication and coordination layer that allows specialized agents to delegate tasks, share context, and compose into larger autonomous workflows.
• Own the Retrieval Layer: Architect and operate RAG systems, including vector stores, embedding pipelines, chunking strategies, and retrieval evaluation frameworks.
• Establish AI Reliability: Instrument AI systems with logging, tracing, latency monitoring, and evaluation hooks so agents can be trusted, debugged, and improved in production.

Required Qualifications:

• AI Infrastructure Experience: Professional experience building and deploying production-grade GenAI systems on GCP Vertex AI or AWS Bedrock including LLM APIs, agent frameworks, and RAG pipelines.
• Python Mastery: Deep proficiency in Python and common AI/ML libraries (e.g., LangChain, LlamaIndex, OpenAI SDK, Google Cloud AI SDK).
• Agentic Systems: Hands-on experience building multi-step, tool-calling AI agents that operate reliably in production including tool schema design, structured outputs, and failure handling.
• MCP or Tool Protocol Experience: Familiarity with Model Context Protocol (MCP) or equivalent patterns for exposing enterprise resources to AI systems as callable, permissioned tools.
• Vector & Retrieval Systems: Experience with vector databases (Pinecone, pgvector, or similar) and embedding-based retrieval at scale.
• Technical Foundation: B.S. in Computer Science, Engineering, or a related technical field.
• The Pioneer Mindset: A self-starter who is excited to be part of a "first-of-its-kind" team and thrives in environments where you are building the playbook.

Preferred Qualifications:

• Multi-Agent Architectures: Experience designing orchestrator/subagent patterns, agent handoff protocols, or systems where multiple AI models coordinate to complete complex tasks (e.g., using frameworks like LangGraph, CrewAI, or AutoGen).
• AI Observability: Experience with LLM evaluation frameworks, prompt regression testing, or agent trace monitoring (e.g. custom eval pipelines).
• Data Warehouse Integration: Familiarity with SQL and pulling data from Snowflake or BigQuery to ground AI agents in live business context.
• Appian Exposure: Experience with the Appian platform or interest in integrating AI agents into low-code automation workflows.
• Predictive ML (Nice to Have): Some familiarity with ML fundamentals is a plus, but not a focus of this role.

This role is based at our Chennai office in Brigade World Trade Center Chennai. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian.  

ABOUT THE ROLE

As a Customer Service Specialist with French, you would be helping businesses in France to become success stories every day. You’ll love talking to people and have an empathetic nature along with a passion for solving customer problems. You will play a key part in helping Tide expand by providing around the clock support, every day of the year. Our mission is to save businesses time and money every day, and delivering fast and fluid support is key to achieving this. Solving problems quickly and giving clear and honest advice is what sets us apart from the traditional big banks. As a Customer Service Specialist with French you will:

• Spot patterns, enabling you to quickly identify and highlight areas that can be improved
• Juggle priorities to ensure that members get the best support experience
• Tackle tough banking challenges such as unfamiliar transactions, missing payments, and direct debits 
• Help mentor new members of the team, and support them with your wisdom and experience and help out with common back office tasks

WHAT WE ARE LOOKING FOR

The ideal candidate will have:

• Excellent spoken and written French skills
• Good spoken and written English skills
• Proficiency in using industry tools such as Kustomer, GSuite, and Jira.
• Confidence talking with our customers to help them get the most from their current account
• A knack for finding novel ways to solve difficult problems
• An eye for identifying recurring issues and the initiative to help create new workflows to solve them
• Really strong organisational skills
• Some experience working in customer service for the finance industry
• Some experience working in startups 

WHAT YOU’LL GET IN RETURN

• 25 days paid annual leave 
• 3 paid days off for volunteering or L&D activities
• Extended maternity and paternity leave covered by the company
• Personal L&D budget per year
• Additional health & dental insurance
• Mental wellbeing platform 
• Snacks, light food, drinks in the office
• WFH equipment allowance

SCHEDULE

Monday - Thursday, 5:30AM - 4:30PM

CORE JOB DUTIES 

• Executing tasks assigned by Management.  

• Detect errors and communicate issues to Supervisors   

• Measuring, packaging, and labeling products as directed by Management.  

• PWO creation  

• Understanding of delivery schedule and how PWOs relate  

• Prioritization of tasks based on PWO   

• Lead & motivate team  

• Collecting samples and performing tests to ensure quality  

• Printing compliance labels   

• Staging, exterior packaging, reading reports   

• Maintaining a sanitary work environment  

• Safely transport products from workspace to storage area  

• Ensure that all functions are performed to the highest standard of quality and compliance  

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

• Demonstrated experience training, leading and/or mentoring junior staff or new hires preferred.   

• Must have at least 1 year (2-3 years preferable) of hands-on experience in a factory, production or manufacturing fast-paced environment with measurable goals and working standards.  

• Strong Leadership skills    

• Effective communication skills  

• Strong attention to detail and ability to adhere to strict policies and procedure  

• Ability to measure, package and label in a precise manner  

• Effective time-management skills and ability to multi-task  

• Ability to work in a fast-paced, changing and challenging environment  

• Proficiency in windows-based software and point of sale applications a plus  

• Requires work around plant material, which could include exposure to plant pollen and/or dust. 

• Requires ability to sit, stand, kneel, and/or do repetitive actions with your hands for long periods of time.  

• Requires ability to lift up to 50 lbs to torso level. 

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

About the Role

We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.

Key Responsibilities

• Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
• Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 5+ years of overall experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
• 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
• Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Experience in developing LLM-powered agents, copilots, or task bots.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance including your parents with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal.And many more…..

About the Role

We’re looking for a customer-facing Solution Architect role, focused on helping customers successfully establish secure network connectivity with Fivetran. Engagements are typically initiated through pre-qualified customer requests (via a ticketing system) and involve designing, validating, and guiding the implementation of networking resources required for Fivetran’s SaaS and Hybrid products.

As a Solution Architect specializing in Network & Connectivity, you will design and implement secure network architectures that enable Fivetran to reliably exchange data with customer environments. Your focus will be on private connectivity, network isolation, secure data flows, and the authentication and credential mechanisms required to establish and maintain those connections across cloud and on-premise infrastructures.

You will work directly with customer security, network, and platform teams to design solutions using technologies such as PrivateLink / Private Service Connect, VPNs, SSH tunneling (direct and reverse), subnet peering, proxy agents, and hybrid networking patterns. While you are not directly responsible for selling, you will act as a trusted technical advisor, guiding customers through architectural decisions, security tradeoffs, and implementation details.

You will collaborate closely with internal teams including Customer Support, Customer Success, Field Sales teams, Product, and Engineering to ensure customer connectivity requirements are met efficiently and securely.
 
This is a full-time position based remotely in India and requires working hours aligned with North American business hours (9:30:00 PM 5:30:00 AM IST).

Technologies You’ll Use

Fivetran SaaS and Hybrid Deployment Models

• AWS, GCP, Azure networking services
• PrivateLink / VPC Endpoint Services
• Private Service Connect
• VPC/VNet Peering
• Site-to-site and client VPNs

Secure connectivity patterns

• SSH tunnels (direct and reverse)
• Bastion hosts
• Proxy agents

Authentication and credential mechanisms

• SSH keys and certificate-based authentication
• Secrets management and key rotation patterns
• IAM roles, service accounts, and least-privilege access

Networking fundamentals

• TCP/IP, DNS, routing, firewalls, CIDR, NAT
• Linux/Unix environments
• git and infrastructure-as-code concepts

What You’ll Do

As a member of our customer-facing team, you will help customers design, implement, and validate the secure networking and authentication foundations required for Fivetran to operate in their environments. You will work on requests, guiding customers or partners through the setup and optimization of private connectivity, credentials, and secure data access patterns that enable reliable Fivetran SaaS and Hybrid data pipelines. 

• Respond to and own customer requests for networking and authentication assistance 
• Design secure network architectures that enable Fivetran to connect to customer data sources across cloud and on-premise environments
• Lead customer discussions focused on connectivity requirements, authentication models, security constraints, compliances issues and network topology
• Guide customers through the setup of required networking and authentication resources, including:
• Private cloud links (AWS PrivateLink, GCP Private Service Connect, Azure Private Endpoints)
• Site-to-site and client VPN architectures
• SSH-based tunneling solutions (forward and reverse)
• Proxy agent and hybrid deployment patterns
• Troubleshoot complex networking, connectivity, and security issues impacting data pipelines
• Validate proposed architectures against customer security, compliance, and operational requirements
• Produce clear architecture diagrams, implementation guides, and customer-facing documentation
• Work in partnership with Support and Customer Success to ensure smooth handoffs and customer outcomes
• Identify recurring customer challenges and provide feedback to Product and Engineering on connectivity-related gaps and opportunities

Skills We’re Looking For

• 3+ years of experience in a customer-facing technical role (Solution Architect, Network Architect, Systems Engineer, or similar)
• Strong hands-on experience designing and implementing secure network architectures
• Deep knowledge of cloud networking in AWS and GCP or Azure
• Experience with private connectivity solutions (PrivateLink, PSC, VPC/VNet peering)
• Strong understanding of VPN technologies, SSH tunneling patterns, and secure authentication mechanisms
• Experience working with credentials, keys, certificates, and access control models
• Linux/Unix experience and comfort troubleshooting at the OS and network level
• Familiarity with security concepts such as network isolation, least privilege, and defense in depth
• Ability to clearly explain complex networking concepts to both technical and non-technical audiences
• Strong problem-solving skills and a customer-first mindset

Bonus Skills

• Experience with hybrid SaaS architectures
• Infrastructure as Code (Terraform, CloudFormation, ARM)
• Experience supporting data platforms, data pipelines, or distributed systems
• Familiarity with enterprise security and compliance requirements
• Hands-on experience with Debian-based Linux systems
• One or more of the following certifications:
  AWS Certified Advanced Networking – Speciality
  AWS Certified Solutions Architect – Professiona
  Azure Network Engineer Associate
  Google Professional Cloud Network Engineer

#LI-LA1
#LI-REMOTE

SCHEDULE

Monday - Friday, 7AM - 3:30PM

JOB SUMMARY

The Processing Agent is an essential role for processing the harvest materials. The ideal candidate must have demonstrated experience working in an operation that adheres to strict health and safety policies and procedures. 

CORE JOB DUTIES 

• Processing Harvest flower material 

• Grating and sorting processed material 

• Weighing and logging material 

• Collecting samples and performing tests to ensure quality     

• Maintaining a sanitary work environment 

• Safely transport products from workspace to storage area 

• Ensure that all functions are performed to the highest standard of quality and compliance including following PPE expectations.   

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

• At least 1 year of experience working in food production or similar manufacturing environment preferred.  

• Strong attention to detail and ability to adhere to strict policies and procedure 

• Ability to measure, package and label in a precise manner 

• Effective time-management skills and ability to multi-task 

• Ability to work in a fast-paced, changing and challenging environment 

• Requires work around plant material, which could include exposure to plant pollen and/or dust. 

• Requires ability to sit, stand, kneel, and/or do repetitive actions with your hands for long periods of time. 

• Requires ability to lift up to 50 lbs to torso level. 

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

Role Overview

We are seeking a Principal Applied Scientist to be the highest-level AI technical authority on the team. This role is above the Applied Scientist level — you set the AI research and engineering direction, own the agentic system architecture, define the eval framework standards, and operate as the primary interface to the external AI research community and internal platform AI leadership. You will combine deep research rigor with relentless production focus: every AI capability you design ships, gets measured, and improves based on evidence.

You are the person who answers: "Is this AI approach the right one, and how do we know when it's working"

Key Responsibilities

• Own the agentic system architecture: define the multi-agent coordination patterns, MCP tool taxonomy, intent-to-skill routing logic, policy enforcement design, and memory management strategy across all AI workflows on the platform.
• Lead the AI evaluation framework: design the golden dataset structure, define eval metrics (RAG retrieval quality, scoring accuracy, LLM response correctness, agentic workflow success rate), and own the CI/CD AI eval pipeline that gates every AI capability release.
• Drive the RAG architecture strategy: chunking strategies for MongoDB and Elasticsearch-indexed documents, embedding model selection and fine-tuning, retrieval reranking design, and hallucination mitigation patterns.
• Own the LLM integration architecture: prompt engineering standards, LLM gateway usage policies, context window management, streaming response patterns, and model version governance.
• Lead applied research initiatives: identify novel techniques (RLHF, Constitutional AI, multi-modal, sparse retrieval) that are practically applicable to automotive retail intelligence use cases and prototype them rigorously in Python.
• Define the hexagonal AI adapter contract standard: the formal interface specification between Python AI services and Java domain cores — ensuring AI infrastructure remains swappable without domain logic changes.
• Act as primary technical interface to platform AI leadership (LLM Gateway, ML Platform, Agentic Engine) — influencing platform roadmap based on teams practical requirements.
• Mentor the Applied Scientist and ML Architect; conduct technical reviews of AI system designs, eval frameworks, and research approaches.
• Publish, present, or contribute to open-source where appropriate — representing Tekion's AI engineering excellence externally.

Skills & Qualifications

• 10+ years of applied AI/ML experience with at least 3 years at Staff or Principal level — a track record of shipping AI systems that measurably changed business outcomes.
• Deep expertise across: LLM fine-tuning and alignment, RAG system design (chunking, embedding, retrieval, reranking), agentic frameworks (LangGraph, CrewAI, AutoGen), and MCP tool design.
• Python mastery: PyTorch, Hugging Face Transformers, LangChain/LangGraph, scikit-learn, and production ML serving tooling.
• Strong understanding of distributed AI systems: Elasticsearch-backed vector search, Redis/Aerospike serving, Cosmos DB for AI event logging, and Kafka-based feature pipelines.
• Proven ability to design formal eval frameworks for AI systems — not just accuracy metrics but business aligned quality gates.
• Experience defining and enforcing hexagonal adapter contracts between AI services and domain service layers in production systems.
• Track record of communicating complex AI system design to non-technical stakeholders, influencing product roadmaps, and driving cross-team alignment. 

Good to Have

• Publications or significant open-source contributions in NLP, information retrieval, or agentic systems.
• Experience with Constitutional AI, RLAIF, or preference optimization techniques (DPO, PPO).
• Familiarity with multi-modal AI and its application to automotive retail data (images, documents, tabular data fusion).
• Prior experience in a product-focused AI role at a SaaS or platform company — not purely research. 

Perks & Benefits

• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Design at Ethos

Design at Ethos plays a meaningful role in shaping our product and customer experience end-to-end. We work cross-functionally to solve hard problems, build products that matter, and raise the bar for craft in a highly regulated, decision-heavy domain. You'll help define how design gets made at Ethos as we grow, including how we adopt AI as a core part of the craft.

About the Role

We're looking for Ethos' first Staff Design Systems Designer to build the foundations that let designers, PMs, and engineers reliably produce on-brand, accessible, high-quality UI, — and to stand up the prompt-to-production pipeline that turns those outputs into shipped products.

This is a true 0→1 opportunity. Ethos is not yet "design-system mature," and we're deliberately building it in an AI-native way rather than retrofitting later. 

You'll partner closely with Product Design, Engineering, Brand/Creative, Content Design, and our AI tooling efforts to build a system where Figma, Cursor / Claude Code, and Storybook form one coherent pipeline — with the right human checkpoints in the loop.

Duties and Responsibilities

Audit, Architect & Plan

• Audit the current product UI and existing design artifacts; identify the highest-leverage opportunities to standardize, consolidate, and reduce inconsistency.
• Define the information architecture of the system itself — naming, taxonomy, component hierarchy, and documentation structure — so that both humans and AI agents can find, reason about, and correctly apply the right primitives.
• Create a concrete step-by-step plan by partnering with design, engineering, and leadership, to correctly prioritize pieces of this effort, balancing long-term scalability with near-term product needs. 

Design-to-Code Integration

• Define and ship a scalable token strategy (color, typography, spacing, elevation, motion) with a pipeline that keeps Figma variables, code tokens, and Storybook in sync.
• Partner with Front-End engineers to translate the system into reusable, well-architected components with clear APIs, states, and accessibility built in.
• Own the component lifecycle end-to-end: versioning, release notes, deprecations, and handoffs.

Adoption & Enablement

• Build a lightweight, builder-friendly contribution process — designers, engineers, and PMs should be able to propose, review, and add to the system without a heavy governance tax.
• Create documentation that people (and agents) actually use: guidelines, do/don't examples, usage rationale, and decision records, structured so they're machine-readable as well as human-readable.
• Drive pragmatic adoption: start where it matters most, ship iteratively, and build credibility through visible product impact.

AI Enablement & Prompt-to-Production

This is the throughline across the three areas above. You won't build this alone, but you'll set the design foundations that make it work.

• Design system AI integration and maintenance: Define how AI agents help audit, tag, and maintain the system's structure — and where human review gates belong (naming decisions, deprecations, new pattern introductions).
• Design-to-code (with a human in the loop): Shape the pipeline that takes a Figma frame or a PM's prompt through Cursor / Claude Code into Storybook-validated components, including the review checkpoints that keep quality, accessibility, and brand integrity intact.
• Adoption in the AI canvas: Make the system legible to agents. Ensure components, tokens, and patterns are documented, named, and structured so that when a designer or PM prompts an agent to "build the post-intent screen," the agent reaches for the right primitives and produces something shippable — not something that needs to be rebuilt.

Measurement & Iteration

• Define what success looks like and track meaningful signals: adoption, UI consistency, design/dev cycle time, accessibility improvements, and the quality of AI-generated output against the system.
• Partner with Research and Data where useful to connect system changes to product outcomes (quality, user confidence, conversion efficiency).

Qualifications and Skills:

Must-have

• Has owned a design system end-to-end at a product company, including the organizational work of getting it adopted — not just the design artifact.
• Deep fluency with design-to-code integration: tokens pipelines, component APIs, versioning, and keeping design and code in sync in practice (not just in theory).
• Track record of driving adoption through pragmatic, builder-friendly processes rather than heavyweight governance.
• Strong working knowledge of modern front-end concepts (tokens, components, states, responsive behavior) and comfort collaborating closely with engineers on tradeoffs.
• Experience setting accessibility standards and shipping accessible components (WCAG-informed practices, inclusive design thinking).
• Genuine curiosity and hands-on experience with AI-assisted design and development workflows — you've used tools like Cursor, Claude Code, or equivalent, and have a point of view on where humans need to stay in the loop.
• Sets direction for peers and partner teams. Comfortable making opinionated calls on ambiguous tradeoffs (governance vs. speed, system purity vs. product reality, human review vs. agent autonomy) and defending them with evidence.
• Ability to thrive in ambiguity and build structure where it doesn't yet exist — pragmatic, opinionated, iterative.
• Clear communicator who can align diverse stakeholders and influence without formal authority.

Nice-to-have

• Strong visual and interaction craft in Figma (component architecture, scalable patterns, high-quality specs). We value this, but the role's center of gravity is organization, integration, adoption, and AI enablement — not pixel-pushing.
• Experience with Storybook or similar component documentation environments.
• Experience with video, motion, illustration/iconography, or tone systems.
• Prior experience shaping AI agent workflows, prompt scaffolding, or evals for design/front-end outputs.

#LI-Hybrid
#LI-NG1

About the role:

We’re looking for a highly adaptable, conversion-focused Senior Marketing Designer who will also help lead and mentor a small team of designers based in India. In this hybrid role, you’ll spend the majority of your time (70%) driving high-impact creative work across key marketing channels, while dedicating part of your time (30%) to overseeing, mentoring, and supporting the India design team to ensure quality, alignment, and growth.

As an individual contributor, you’ll bring our brand to life across email, paid/organic social, affiliate, decks, landing pages, and animation—with a strong focus on supporting our Partnerships business. This means designing thoughtfully for the agents who sell life insurance, creating clear, compelling materials that help them understand our products, communicate value, and succeed in their role. You’ll balance this agent-first work with consumer-facing creative, adapting your design approach to different audiences and goals.

As a design manager, you’ll act as both a mentor and a quality gatekeeper. You’ll use your strong taste level to provide precise, actionable feedback, guiding designers toward sharper, more strategic work. You’ll help set priorities, manage daily workflows, and collaborate cross-functionally with marketing, growth, and product stakeholders. You’ll also be deeply detail-oriented—reviewing and QA’ing email proofs daily to ensure accuracy, brand alignment, and design excellence. Above all, you’ll create an environment where designers can grow their craft while consistently delivering high-quality work.

This is a role for someone who thrives in fast-moving environments, takes full ownership from concept to execution, and is energized by both hands-on design and supporting the success of others. You’ll work closely with marketers, writers, and channel stakeholders to deeply understand what’s needed—then deliver smart, polished solutions that are both on-brand and built to perform. 

Duties and Responsibilities:

Individual Contributor (70%)

• Design a high volume of performance-driven marketing content, from concept to execution—including email campaigns, social media ads, landing pages, affiliate creative, decks, digital ads, company material, and animations.
• Apply and evolve the Ethos brand across key marketing channels, ensuring every touchpoint—email, lifecycle, social, advertising, landing pages, and events—feels consistent, elevated, and strategically tailored to its audience and platform.
• Bring animation and motion design into the marketing toolkit, helping add energy, clarity, and polish across digital surfaces.
• Adapt seamlessly between Consumer-facing and Partner (agent) creative, understanding the nuances of each audience and collaborating with different internal teams to deliver effective, on-brand work that supports distinct goals and messaging strategies.
• Support creative for new product launches and evolving product lines, designing assets that clearly communicate value, drive engagement, and align with go-to-market strategy across various product types and customer segments.
• Partner closely with marketing, growth, and product design teams to craft compelling visual stories through thoughtful use of iconography, typography, photography, animation, and infographics.
• Take initiative in shaping strategic design direction, proactively pitching and executing ideas that align with business objectives and enhance the user experience.
• Lead high-impact projects from brief through execution in a fast-paced, dynamic environment—balancing speed, quality, and adaptability.

Design Management (30%)

• Provide clear, actionable creative direction to the India-based design team, leveraging a strong taste level and sharp design eye to guide work toward higher craft, clarity, and performance.
• Deliver specific, detailed feedback that not only improves design output but also helps team members grow their own ability to think strategically and execute at a high standard.
• Oversee daily workflows and prioritization, ensuring the team focuses on the most impactful projects and delivers work on time and to spec.
• Review and QA email proofs daily, meticulously checking for accuracy, brand consistency, design quality, and production readiness.
• Ensure consistency and excellence in design quality, upholding brand standards while adapting to different audiences (consumer vs. agent/partnership).
• Mentor designers one-on-one, helping them sharpen their design thinking, grow confidence, and expand their skills.
• Collaborate cross-functionally with marketing, growth, product, and partnerships stakeholders—helping translate business needs into clear design direction for the team.
• Act as the bridge between the U.S. and India design teams, ensuring smooth communication, alignment, and knowledge sharing across time zones.

Qualifications and Skills: 

• 6–8 years of experience in marketing design, with a portfolio that demonstrates strong conceptual thinking, visual craft, and performance-driven work
• Exceptional design taste level with a sharp eye for detail, craft, and consistency across brand systems and marketing channels.
• Proven ability to give precise, actionable feedback and direction, helping elevate design quality while coaching others toward stronger outcomes.
• Expertise in Figma and Adobe Creative Suite; proficiency with motion design or animation
• Deep understanding of marketing funnels, audience segmentation, and channel best practices
• Strong communication skills—both written and verbal—with an ability to clearly explain design decisions
• Proven experience designing conversion-oriented marketing materials that balance craft and performance
• Demonstrated ability to lead design projects end-to-end—from insights and ideation to execution and iteration
• Skilled in storytelling, visual hierarchy, and audience-first thinking—able to clearly communicate complex ideas with clarity and impact
• Comfortable working across multiple product types and audiences (e.g., Consumer and Partner/Agent), and quickly shifting between different brand voices and goals
• Experience collaborating cross-functionally with marketing, growth, and product teams, building strong relationships and aligning creative to broader business strategies
• Thrives in a fast-paced, feedback-rich environment with shifting priorities and evolving goals
• Highly organized and self-directed; able to manage multiple projects simultaneously, meet deadlines, and adapt quickly
• Extremely detail-oriented, with proven experience in quality assurance review of digital creative (especially email proofs).
• Receptive to feedback and collaborative in an iterative design process
• Experience in DTC, fintech, or financial services industries preferred

#LI-KP1

#LI-Hybrid

About the Role:

As a Customer  Experience Associate at Ethos you will be responsible for delivering an exceptional experience to both new and existing customer/ insurance agents who refer business to Ethos. To succeed in this role, you should have a relentless focus on the customer, strong attention to detail and problem solving skills, and exceptional communication skills.  Ethos is looking for a Customer Support Associate who thrives on helping customers and solving problems as well as working in a dynamic environment. Creating a positive customer experience is of the utmost importance to Ethos and will continue to determine our success in the life insurance industry.

Duties and Responsibilities:

• Ensure accuracy in information being communicated to agents, especially when it comes to policy status and the agent’s compensation
• Become efficient in systems dealing with both consumer policy information as well as partner agent systems
• Able to understand and communicate complex agent payments and contract details.
• Provide excellent service via email, live chat, SMS, and phone, and providing answers to incoming inquiries relating the partner insurance agent and their business 
• Develop strong understanding and knowledge of Ethos products and processes in order to support customers/agents and act as a resource for partnership account managers 
• Identify customer/agent needs and process requests efficiently and effectively within defined service levels
• Build rapport and gain the respect of agents through clear and transparent communication
• Meet individual and customer support team goals and objectives
• Identify opportunities for process improvements for assigned functions, collaborating with management to implement agreed upon solutions

Qualifications and Skills: 

• 1- 3 years experience in customer support, customer success, operations, or related role
• Experience in life insurance or related industry a plus, but not required 
• Very detail oriented, especially while working with agent compensation and contract details
• Bachelor’s degree preferred
• Proficiency working with Salesforce or equivalent support/help desk software preferred, but not required
• Strong intellectual curiosity and drive to solve problems 
• Excellent time management , highly organised and prioritization necessary to balance all responsibilities 
• Possess grit and can adapt to changes quickly
• Adaptable to change and ability to change tasks quickly with maintaining attention to detail 

#LI-Onsite

#LI-ND1

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

Zuora is re-architecting CPQ for the next generation—moving beyond traditional configuration and pricing into AI-driven, agentic quoting systems that directly impact revenue growth and deal velocity. This role sits at the center of that shift, driving the core CPQ platform (DealDesk + pricing foundations) while unlocking high-leverage capabilities like agent-assisted quoting and pricing optimization (CPQ-x).

You’ll tackle hard problems at the intersection of distributed systems, pricing complexity, and applied AI—from building scalable pricing engines to embedding intelligent agents into quote workflows. You’ll define and deliver the technical foundation for agentic quoting, de-risk critical GTM and product gaps, and shape how Zuora monetizes AI to drive measurable pricing uplift and sales efficiency.

About You

You’ll be successful in this role if you can own complex systems end-to-end and translate ambiguity into scalable, production-grade platforms. You’re equally comfortable going deep on architecture (e.g., pricing engines, distributed systems) and driving alignment across product, GTM, and data teams to ship high-impact capabilities.

You may be a great fit if you:

* Have significant experience leading backend/platform engineering teams building large-scale SaaS systems (CPQ, billing, pricing, or similarly complex domains).

* Are strong at system design, technical judgment, and organizational leadership—able to make clear tradeoffs between flexibility, correctness, and scale.

* Can bridge deterministic systems and AI-driven approaches, knowing when to apply rules vs ML/LLMs to solve real business problems.

* Thrive in environments where requirements are complex and evolving, and where you’re expected to drive both long-term architecture and near-term execution.

* Bring a track record of delivering high-impact platforms—e.g., scaling pricing systems, simplifying complex workflows, or embedding new capabilities (like AI) into core products.

* Are effective at driving cross-functional outcomes, especially across Product, Data/ML, and GTM teams.

⸻

Nice to Have

* Experience with CPQ platforms (Salesforce CPQ, Zuora CPQ, Apttus)

* Background in subscription or usage-based pricing models

* Familiarity with LLM patterns (RAG, embeddings) or production ML systems

* Experience integrating with CRM/ERP systems or financial platforms

About the Team

The CPQ Engineering team owns the systems that sit at the center of Zuora’s revenue engine—powering how deals are configured, priced, and transacted across the Subscription Economy. The team is responsible for building scalable, high-correctness platforms that connect CRM, billing, and downstream financial systems.

We work closely with Product, Data/ML, Sales/GTM, and Finance teams to ensure pricing and quoting workflows are both flexible and operationally sound. This includes deep collaboration on DealDesk workflows, pricing strategy, and embedding AI-driven capabilities directly into sales and quoting processes.

The team operates as a distributed engineering organization, with a strong bias toward design-first development, async collaboration, and clear technical ownership. Decisions are driven by data, system constraints, and long-term maintainability rather than short-term patches.

Engineers on this team gain exposure to core revenue systems, AI-driven product innovation, and cross-functional problem solving, with opportunities to expand scope across CPQ, Billing, and broader platform architecture while developing as technical and organizational leaders.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical Insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

About the Role

As a Conversational Design, Demo Engineer you will play a critical role in supporting pre-sales engagements through the design, analysis, and demonstration of Cresta’s AI capabilities. You’ll partner closely with Solution Engineers and Demo Engineering to craft compelling, high-quality conversational experiences that showcase Cresta’s value to prospective and existing customers.

Your work will focus on establishing clear business cases for net new and upsell opportunities, using conversation design and data-driven assessments to highlight measurable impact. You will leverage your understanding of different contact center verticals, such as financial services, insurance, telecommunications, retail and much more to tailor designs that resonate with each customer’s unique environment and goals.

This role requires close collaboration across Machine Learning, Product, Data Science, Customer Success, and Sales Engineering teams to ensure every customer-facing experience reflects the best of Cresta’s AI product suite.

Responsibilities:

• Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta’s value in real-world customer scenarios.
• Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments.
• Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion.
• Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight.
• Design dashboards that tell a compelling business story. Be meticulous in defining metadata layers and required attributes to make demo environments feel authentic and industry-specific 
• Pro in Establishing structured Gen AI frameworks for e.g. complaint detection, customer experience measurement, repeat call analysis, and other traditionally subjective evaluation areas using Generative AI best practices. Develop scalable methodologies that move beyond keyword-based logic toward AI-driven contextual understanding.
• Lead the design of QA automation frameworks that maximize projection and coverage through a combination of GenAI capabilities and advanced keyword features, reducing subjectivity while increasing consistency, accuracy, and scalability.
• Build cross-vertical expertise (e.g., insurance, banking, telecom, retail, hospitality) and adapt tone, workflows, and interaction strategies to reflect each industry’s operational nuances and KPIs.
• Strategize and design scalable demo accounts that can be provisioned as sandbox environments for clients. Own end-to-end maintenance, optimization, and governance of these accounts to ensure readiness and reliability.Develop structured GTM templates and reusable demo narratives for Solution Engineers aligned to key use cases, enabling consistent and compelling storytelling during customer engagements.
• Design and deploy AI Agent experiences using flow-based, prompt-based, and hybrid architectures across both voice and chat channels.
• Contribute forward-thinking ideas on product scalability, feature evolution, and competitive differentiation. Analyze competitor approaches and proactively recommend ways to outpace the market.Challenge the status quo by introducing innovative, scalable processes and frameworks that improve efficiency, repeatability, and demo impact.
• Support and enhance Cresta’s Opera Enablement Program, empowering customers to independently design, build, test, and QA their own AI models within structured best-practice frameworks

Qualifications we Value:

• Strong alignment with Cresta’s culture and values — driven by a genuine desire to make people’s lives easier, even in fast-paced and high-pressure environments. Demonstrates resilience, positivity, and ownership, with the ability to maintain energy and focus when workloads are demanding. Brings a growth mindset, remains coachable, and continuously seeks new ideas to improve collaboration, team dynamics, and collective progression
• Deep understanding of contact center operations, performance metrics, and workflows across industries such as financial services, insurance, retail, and telecommunications. Clear awareness of the ongoing market shifts transforming contact centers — including AI adoption, automation, agent augmentation, omnichannel engagement, and operational efficiency mandates.
• Strong perspective on evolving contact center technologies and the tools agents use daily. Ability to think from both the agent and end-customer viewpoint, identifying how conversational intelligence and AI agents can simplify workflows, reduce friction, and improve overall experience. Prior hands-on contact center exposure is highly valued.
• Knowledge of industry-specific challenges and structural changes impacting contact center verticals today, and a clear understanding of how conversational AI and AI agents can streamline operations, improve compliance, drive retention, and enhance service quality.
• Experience collaborating cross-functionally with Solution Engineers, Sales, and Product teams in pre-sales, demo, or POC-driven environments.
• Minimum 3+ years of experience in conversational design, including building bots, virtual agents, AI-driven workflows, or conversation analytics solutions.
• Fluency in a second language is a plus.

Compensation at Cresta 

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

Are you an experienced geospatial professional eager to shape the future of AI? We’re developing a geospatial reasoning agent focused on Crisis Response—helping AI systems understand, assess, and predict real-world events where data is uncertain or incomplete. Your expertise will guide model development and evaluation, laying the foundation for future geospatial reasoning and forecasting applications.

We’re looking for experts with deep experience in geospatial analysis, crisis response, or related domains such as damage assessment, agriculture, site selection, supply chain optimization, or forecasting. You’ll evaluate AI-generated outputs, identify analytical weaknesses, and design metrics and test cases that advance model understanding and predictive accuracy.

On a typical day, you’ll review geospatial scenarios, validate model outputs, define and refine reasoning frameworks, and collaborate with our team to improve data-driven evaluations.

Ideal candidates bring professional experience in geospatial analysis, GIS systems, or spatial modeling within industries such as crisis management, logistics, or environmental planning. Proficiency with geospatial tools and libraries (e.g., QGIS, ArcGIS, GDAL, PostGIS) is preferred. Strong reasoning, attention to detail, and the ability to communicate complex spatial relationships clearly are essential.

Ready to apply your geospatial expertise to the frontier of AI? Apply today and help design intelligent systems capable of supporting real-time global decision-making.

We offer a pay range of $24 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high-speed internet connection; company-sponsored benefits such as health insurance and PTO do not apply.

Job title: Geospatial Reasoning Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Senior Level

About Fresh Prints

Fresh Prints is a New York-based custom apparel startup, but at its core, we’re a platform for opportunity.

We partner with ambitious students across the U.S., giving them the capital, training, and support to build real businesses on their campuses. What starts as selling custom merch often turns into something much bigger - ownership, confidence, and a first taste of entrepreneurship.

Behind the scenes, we’re a fast-growing, high-output team building the systems, structure, and support that make all of this possible. And that’s where Finance - and more specifically, Collections - comes in.

A note from Gaurav (Finance Manager)

One thing I’ve always believed in is simple: every single dollar that flows through a company deserves attention.

Not in a rigid or bureaucratic way - but in a way that reflects ownership. When money comes in, we should know where it came from, why it came in, and whether it’s been accounted for correctly. When something doesn’t add up, we don’t ignore it - we dig in, understand it, and fix it.

That level of care isn’t driven by process alone. It’s driven by mindset.

The second belief I hold strongly is that problems are meant to be surfaced, not hidden. If there’s a gap, an error, or something that feels off, the expectation is to call it out. Not to assign blame, but to make the system better. Improvement here is a shared responsibility.

And lastly, I believe in thoughtful disagreement. The best outcomes don’t come from everyone agreeing - they come from people who are willing to challenge ideas, back their thinking, and work toward the best solution together. If you have a perspective, you’re expected to bring it to the table.

What stood out to me when I joined Fresh Prints is how naturally these principles already existed here. It’s a culture where ownership is real, feedback is welcomed, and people genuinely want each other to succeed.

What the Finance Team Is Building (and Why It Matters)

The Finance team is responsible for everything that touches money at Fresh Prints - over $30M in annual revenue, flowing across customers, Campus Managers, suppliers, and printers.

But this role, specifically, sits at the heart of Collections - where revenue becomes real.

This isn’t just about following up on payments. It’s about building systems that ensure:

• Customers pay on time, every time
• Inbound and outbound payments are handled accurately, quickly, and cost-effectively
• Discrepancies are identified and resolved before they become problems
• The business has clear, reliable visibility into cash flow

We’re constantly asking questions like:

• How do we handle a higher volume of tickets without compromising quality?
• How do we make collections more efficient without losing the human touch?
• How do we reduce leakage and improve margins at scale?

As a Collections Manager, you won’t just manage these processes - you’ll own and evolve them.

You’ll lead a small but high-impact team, set the metrics that matter, and play a key role in shaping how money moves through the company as we scale. You’ll work closely with leadership, including Josh (CEO), and have the autonomy to drive meaningful change.

What You’ll Do

• Lead and manage a team of 2–5 Collections Associates
• Own end-to-end collections operations (inbound & outbound follow-ups, payment tracking, dispute resolution)
• Drive improvements in:
• Collections efficiency
• Recovery rates
• Turnaround time on open invoices
• Set, track, and optimize team performance metrics
• Manage customer and vendor communication for payment recovery
• Handle escalations and resolve complex or sensitive cases
• Build and improve collections workflows, systems, and SOPs
• Collaborate cross-functionally with Finance, Sales, and Operations
• Ensure accurate reporting of daily, weekly, and monthly collections data

We’re looking for 3-6 years of experience in:

• Collections / AR / financial operations OR
• Operations/project management in fast-paced environments
• 2+ years managing a team (2-5 people)

Core Skills (Must-Have)

• Strong data orientation (Excel, dashboards, tracking metrics)
• Ability to define and track key metrics such as:
• Collections efficiency
• Agent productivity
• Call volume and conversion
• Proven ability to improve processes or workflows
• Strong ownership and execution mindset
• Excellent communication (especially for difficult conversations)
• Ability to make decisions independently and move fast

Nice-to-Have

• Experience in B2C collections or high-volume customer operations
• Exposure to CRM / ticketing tools
• Experience implementing or improving collections tools
• Background in finance, revenue operations, or customer success

Success in This Role Looks Like

• Improved collections % and recovery timelines
• Clear visibility into metrics and performance
• Scalable, efficient collections processes

Compensation & Benefits

• Competitive salary
• Health insurance
• Learning and growth opportunities
• High-ownership role in a fast-growing environment 
• At Fresh Prints, we deeply value the long-term contributions of our team. To recognize and celebrate that commitment, we offer a 2-month paid Sabbatical to eligible employees.

Job Location

• This is a remote position

Working Hours

• Working hours are 7 AM - 4 PM EST (US Timings) Monday to Friday

Fresh Prints is an equal employment opportunity employer and promotes diversity; actively encouraging people of all backgrounds, ages, LGBTQ+, and those with disabilities to apply.

Manage a Team of Collections Associates for a fast-growing NYC-based custom apparel start-up

Fresh Prints is a New York-based custom-printed apparel startup. We partner with talented students, providing them with the capital, training, and support to build apparel businesses on their campuses.

About the Role

The Finance team manages all cash inflows and outflows at Fresh Prints. As a Collections Team Lead, you will be responsible for managing and improving the systems and performance of our receivables function.

This is a high-impact role focused on driving revenue realization and ensuring strong cash flow discipline across the business. You will own collections performance, build scalable processes, and lead a team responsible for recovering outstanding payments efficiently and professionally.

What You’ll Do

• Lead and manage a team of 2–5 Collections Associates
• Own end-to-end collections operations (inbound & outbound follow-ups, payment tracking, dispute resolution)
• Drive improvements in:
• Collections efficiency
• Recovery rates
• Turnaround time on open invoices
• Set, track, and optimize team performance metrics
• Manage customer and vendor communication for payment recovery
• Handle escalations and resolve complex or sensitive cases
• Build and improve collections workflows, systems, and SOPs
• Collaborate cross-functionally with Finance, Sales, and Operations
• Ensure accurate reporting of daily, weekly, and monthly collections data

We’re looking for 3–6 years of experience in:

• Collections / AR / financial operations OR
• Operations/project management in fast-paced environments
• 2+ years managing a team (2–5 people)

Core Skills (Must-Have)

• Strong data orientation (Excel, dashboards, tracking metrics)
• Ability to define and track key metrics such as:
• Collections efficiency
• Agent productivity
• Call volume and conversion
• Proven ability to improve processes or workflows
• Strong ownership and execution mindset
• Excellent communication (especially for difficult conversations)
• Ability to make decisions independently and move fast

Nice-to-Have

• Experience in B2C collections or high-volume customer operations
• Exposure to CRM / ticketing tools
• Experience implementing or improving collections tools
• Background in finance, revenue operations, or customer success

Success in This Role Looks Like

• Improved collections % and recovery timelines
• Clear visibility into metrics and performance
• Scalable, efficient collections processes

Compensation & Benefits

• Competitive salary
• Health insurance
• Learning and growth opportunities
• High-ownership role in a fast-growing environment 
• At Fresh Prints, we deeply value the long-term contributions of our team. To recognize and celebrate that commitment, we offer a 2-month paid Sabbatical to eligible employees.

Job Location

• This is a remote position

Working Hours

• Working hours are 7 AM - 4 PM EST (US Timings) Monday to Friday

Fresh Prints is an equal employment opportunity employer and promotes diversity; actively encouraging people of all backgrounds, ages, LGBTQ+, and those with disabilities to apply. 

Title of role: Program Manager, Member Services Content & Communications
Location: Remote but if in NY/ Boston (2 days in office)
Approved Salary Range: $95,000-$115,000

About the Role:

The Program Manager, Content & Communications plays a critical role in enabling a luxury customer experience by developing clear, engaging, and effective content for both member services agents and members. This role is responsible for training content creation, agent-facing knowledge resources, and member-facing help content.

This role partners closely with MS Training, MS Operations, and MS Operations Excellence teams to ensure content is accurate, timely, scalable, and aligned with both operational needs and luxury brand standards.

Key Responsibilities:

• Training & Agent Enablement

  • Design, develop, and maintain training materials for customer service agents, including onboarding, refresher training, process updates, and learning modules.
  • Develop refresher modules and tips/tricks series to keep tenured agents sharp and engaged
  • Translate complex policies, systems, and workflows into clear, actionable training content that supports agent confidence and performance.
  • Partner with Training and Operations leaders to identify content gaps and continuously improve learning effectiveness and agent readiness.
  • Move beyond text-heavy desks and create engaging content using videos, interactive modules, infographics, and gamified learning that caters to diverse learning styles

  Agent-Facing Knowledge & Help Content

  • Own and maintain agent-facing knowledge base articles, job aids, and standard operating procedures ensuring ease of navigation, accuracy, and optimization
  • Collaborate with cross-functional partners to create content related to policy updates, tool enhancements, and operational changes.
  • Ensure agent-facing content is structured, standardized, and optimized for AI-powered tools to enable accurate, consistent, and context-aware support at scale while maintaining a high-quality agent & member experience.

  Member-Facing Service Content

  • Create and update member-facing content, including Help Center articles, FAQs, policy explanations, and transactional messaging to reduce friction and promote self-service
  • Ensure all member-facing content reflects the luxury brand voice while clearly setting expectations and helping reduce inbound contacts.
  • Ensure member-facing content is structured, standardized, and optimized for AI-powered tools to enable accurate, consistent, and context-aware support at scale while maintaining a high-quality member experience.

  Agent Facing Communication

  • Support internal communications and engagement initiatives within the Member Service organization, including change communications, operational updates, and recognition content.
  • Curate Flash Alerts and Reminders to ensure agents are aware of recent changes, outages, or policy shifts.

  Content Governance & Optimization

  • Establish content standards, templates, and best practices across training, agent-facing, and member-facing materials.
  • Track content performance and engagement metrics (e.g., article usage, training completion, contact drivers) and use insights to iterate and improve effectiveness.
  • Manage content calendars, updates, and version control to ensure consistency across channels and audiences.

Experience and Background Needed:

• • Strong writing and editing skills with the ability to adapt tone for agents, internal stakeholders, and luxury consumers.
  • Experience in creating training materials, knowledge base content, or internal communications in a customer service or e-commerce environment.
  • Strong cross-functional collaboration and stakeholder management skills.
  • Comfort working in a fast-paced, evolving environment with multiple priorities.
  • Proficiency with content creation tools (e.g., Gemini, LM Notebook, Canva, Loom, Camtasia, or Articulate) to build visually compelling content and training.

• Education

  • Bachelor’s degree in communications, marketing, education, organizational development or related field required

  Years of experience

  • 3-5 years’ experience in content creation, communications, knowledge management, training, curriculum design

  Technical skills

  • Knowledge management platforms
  • Experience leveraging AI tools to support content creation, editing, summarization, and optimization while maintaining quality, accuracy, and brand voice.
  • Experience optimizing content for AI-driven search and automation
  • Ability to use data to inform content gaps and performance

The above statements are intended to describe the general nature and level of work being performed by employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

What We Offer:

Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, 401(k) participation, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated.

We Encourage You to Apply:

At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you.

Work Authorization
Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future. Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

SCHEDULE

Monday - Thursday, 6:00am-4:30pm or Tuesday - Friday, 6:00am 4:30pm

CORE JOB DUTIES 

• Executing tasks assigned by department leadership. 
• Measuring, packaging, and labeling products  
• Compares product with product standards to ensure quality. 
• Maintaining a sanitary work environment 
• Safely transport products from workspace to storage area 
• Ensure that all functions are performed to the highest standard of quality and compliance

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

• 1 year (2-3 years preferable) of hands-on experience in a factory, production or manufacturing fast-paced environment with measurable goals and working standards, preferred.     
• Strong attention to detail and ability to adhere to strict policies and procedure 
• Ability to measure, package and label in a precise manner 
• Effective time-management skills and ability to multi-task 
• Ability to work in a fast-paced, changing and challenging environment 
• Proficiency in windows-based software and point of sale applications a plus 
• Requires work around plant material, which could include exposure to plant pollen and/or dust. 
• Requires ability to sit, stand, kneel, and/or do repetitive actions with your hands for long periods of time. 
• Requires ability to lift up to 50 lbs to torso level. 

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

SCHEDULE

Monday, Friday - 7:30am - 4:00pm

JOB SUMMARY

Cresco Labs is seeking an Edibles Product Agent for our growing facility. The Edibles Product Agent is responsible for cross-functional support of production and packaging for our infused edible products. The Agent completes tasks assigned by the Kitchen Supervisor and Packaging Supervisor. Carry out day-to-day tasks including prepping, cleaning, cooking, labeling, wrapping and operating basic production and packaging machinery. Produce and package edibles in accordance with the State and standards set by Cresco Labs.

CORE JOB DUTIES 

• Assist kitchen staff in the daily production of cannabis-infused food products using commercial machinery.
• Understand and execute batch production as assigned by Department Leadership – Learn and continuously improve production efficiency.
• Collaborate with the kitchen lead to adhere to manufacturing formula standard operating procedures, ensuring both potency and homogenization.
• Identify and troubleshoot issues that may cause damaged edibles ensuring quality control.   
• Train in food safety/sanitation and maintain a clean and safe production environment. 
• Assist, when needed, in labeling, packaging and tracking edibles for final sale. 
• Maintain a clean and safe production facility. 
• Ensure personal hygiene is acceptable under standards set by Cresco Labs before performing any production activities by washing hands, donning personal protective equipment, changing clothes, etc.   
• Complete the sanitation of production equipment and tools including workspace, production and packaging equipment, cookware and appliances.  
• Assist, when needed, in cross-departmental training and task completion. 

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

• Two years of experience in a general production, preferably a regulated field producing for human consumption. Or any satisfactory combination of experience and training which clearly demonstrates the ability to perform the above-described duties. 
• Experience in a production-heavy kitchen is a plus. 
• Demonstrate a clear understanding of recipes, food production and kitchen sanitation.  
• Strong and effective task-management skills and ability to multi-task.    
• Attention to detail – ability to monitor basic kitchen production in process, package and label in a precise manner.   
• Ability to work in a fast-paced, changing and challenging environment.    
• Requires work around plant material, which could include exposure to plant pollen and/or dust.
• Requires ability to sit, stand, kneel, and/or do repetitive actions with your hands for long periods of time.
• Requires ability to lift up to 50 lbs to torso level.

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

SCHEDULE

Tuesday to Friday, 1:30pm - 12:00am

CORE JOB DUTIES 

• Executing tasks assigned by department leadership.
• Measuring, packaging, and labeling products 
• Compares product with product standards to ensure quality.
• Maintaining a sanitary work environment
• Safely transport products from workspace to storage area
• Ensure that all functions are performed to the highest standard of quality and compliance

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

• 1 year (2-3 years preferable) of hands-on experience in a factory, production or manufacturing fast-paced environment with measurable goals and working standards, preferred.
• Strong attention to detail and ability to adhere to strict policies and procedure
• Ability to measure, package and label in a precise manner
• Effective time-management skills and ability to multi-task
• Ability to work in a fast-paced, changing and challenging environment
• Proficiency in windows-based software and point of sale applications a plus
• Requires work around plant material, which could include exposure to plant pollen and/or dust.
• Requires ability to sit, stand, kneel, and/or do repetitive actions with your hands for long periods of time.
• Requires ability to lift up to 50 lbs to torso level.

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

About the team:

As part of DataDome’s European technical support team, you will have a direct impact and daily interaction with clients such as Tripadvisor, Pokemon, ZocDoc, just to name a few.

This is an ideal opportunity to work with a variety of clients in their usage and adoption of DataDome’s platform, while simultaneously developing your knowledge and skill sets relating to cloud software, cybersecurity, and AI. When it comes to our support stack, we use Slack and Zendesk to provide support to our clients and Jira internally.

The Eurasian team is managed remotely, and emphasizes collaboration and engagement amongst dedicated problem solvers. 

As the Technical Support Engineer, you will be in charge of things like...

• Proactively monitoring customers’ exchanges and responding to support tickets while leveraging your expertise and knowledge of our solution and implementation phases.
• Informing our customers on how to get the most out of their DataDome products and services, respond to requests in a timely and precise manner, and be the point of contact to resolve customer issues related to DataDome products and services.
• Continuously developing your expertise and understanding of our solution, the implementation lifecycle, our bot detection process, as well as our dashboard functionalities through training, hands-on testing, sessions via our Learning & Development platform.
• Answer customers’ technical questions, while informing them and our internal global teams (Customer Success & Engineering) about your findings, meeting or exceeding service-level agreements (SLAs), and escalating ticket requests.
• Participating in an on-call rotation to provide to support our 24/7 support model
• Collaborating and exchanging with our global Threat Research team and cybersecurity experts on a daily basis, while simultaneously contributing to protecting and reducing fraudulent online traffic - basically this is what being a Datadomer is all about!

It would be great if...

• You have at least 2 years of relevant work experience in technical support, product support, or a similar customer-facing technical role
• You have experience supporting B2B cloud software
• You are self-driven, curious, an eager learner, at ease working autonomous and highly motivated
• You are a team player and enjoy interacting with global teams
• You are a customer-driven individual, who is excited to work and solve technical challenges in a rewarding environment alongside great people
• Technical and functional understanding of website hosting and architecture, mobile application, and how the internet works (architecture, components, flows, OSI Layers)
• You have experience with Apache, Nginx, AWS Lambda@edge, CDNs (e.g., Akamai, CloudFlare, Fastly), and WAFs
• You have cybersecurity experience

Bonus Points

• You are interested in deep diving into data and you are familiar with Kibana/Elasticsearch
• HTTP protocol is no mystery for you

What’s in it for you?

• Fully Remote position (India-based) work + $500 stipend to help you set up your ideal workspace after 90 days of employment
• Health Benefits: We offer medical, dental, & vision insurance options to keep you feeling your best.
• Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
• Events & Team building: #Wecare and we have fun! We organise Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture
• PTO: 20 paid time off days, 5 sick days and 2 floating holidays
• Equivalent of 401 K eligibility + matching.

What are the next steps?

• You x Talent Acquisition Specialist
• You x Gaetan , Support Engineer Manager
• You x Team for the test
• You x Leta , Chief Customer Officer
• You x Benjamin, CEO
• Welcome to DataDome!

DataDome delivers real-time bot and agent trust management, giving businesses complete visibility and control over all traffic—human, bot, or AI. Named a Leader in The Forrester Wave™ for Bot Management, DataDome is trusted by enterprises like Etsy, PayPal, and Soundcloud. Acting as a traffic control plane, DataDome's multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds—letting legitimate users through seamlessly across websites, apps, APIs, and MCPs. Backed by a 24/7 SOC and expert threat researchers, DataDome stops 20k+ attacks every second. With 30+ global PoPs, and 50+ ready-made integrations, DataDome is a recognized Leader on G2 across several categories—delivering protection that outperforms.

DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

JOB SUMMARY

Provide maintenance, calibration, and technical support to the manufacturing process and facility equipment.  Coordinate and perform testing and calibration on electrical, mechanical, and analytical equipment for conformance to established standards. Request purchase order requisitions for 3^rd party maintenance requirements.

ESSENTIAL JOB FUNCTIONS

• Assist in creating/establishing a Maintenance and Calibration Program including recommendation of Maintenance and Calibration activities and frequencies based upon system/equipment assessments
• Plan, schedule, and perform planned and unplanned maintenance and calibration on process and facility equipment/utilities including but not limited to HVAC, freezers, cold rooms, bioreactors, filling systems, analytical testing instruments, and building management control systems
• Coordinate and support external calibration service providers
• Build relationships with customers, colleagues, and service partners to provide a collaborative approach to the operational management of lab spaces.
• Track and report on calibration status of all equipment/instruments in the facility
• Ensure timely completion of calibrations/preventive maintenance and compliant record keeping.
• Obtain required documentation and approval prior to creation of purchase order requisition for service requests to be completed by 3^rd party vendors.
• After purchase order has been issued, ensure service delivery dates are correct and revise as necessary, per follow-up with suppliers and customers.
• Source, qualify, negotiate, and procure service contracts in support of lab operations.
• Ensure purchase requisitions are requisitions closed within 180 days and confirm that associated purchase orders are closed as well.
• Enter and maintain records in the Computerized Maintenance Management System (CMMS)
• Meet regularly with key stakeholders (lab staff, service partners, management) to identify, review and resolve issues in a timely manner and/or escalate as necessary.
• Adaptability required as work schedule may change based on business needs
• Criminal background check required
• Other duties as assigned

KNOWLEDGE, SKILLS AND EXPERIENCE

• Associates Degree
• Bachelor's degree 
• EET
• 3-5 years related Calibration/Metrology work experience
• Ability to understand user manuals/specifications, wiring diagrams, equipment Piping & Instrumentation Diagrams (P&ID), and Standard Operating Procedures (SOP)
• Mechanically inclined/knowledge of hand tools
• Proficient with advanced computer systems including the use of a CMMS
• Excellent interpersonal skills and communication skills with ability to act as a change agent

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment

• Frequently required to work in a BSL 2 environment with personal protective equipment/aseptic gowning
• Regularly required to work around large machinery and typical utilities seen in pharmaceutical facilities
• Occasionally exposed to moving mechanical parts; high, precarious places; toxic or caustic chemicals; hazardous waste; and risk of electrical shock
• Occasionally exposed to extremely loud noise levels
• Spending time on the floor during activity execution (maintenance, construction, commissioning and qualification) is required

Movement

• Frequently required to stand; sit; use hands to finger, handle, or feel; reach with hands and arms
• Occasionally required to walk; climb or balance; and stoop, kneel, crouch, or crawl

Lifting

• Frequently lift and/or move up to 10 pounds
• Occasionally lift and/or move up to 25 pounds

Vision

• Frequently utilize close vision and the ability to adjust focus

Communication 

• Frequently required to communicate by talking, hearing, using telephone and e-mail