This is Hybrid role (3 days in office /2 days remote)

About your Team:

The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise.

 What will be your responsibilities within IBKR: 

· Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases

· Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads

· Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing

· Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video)

· Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems

· Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation

· Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality

· Write clean, maintainable, well-tested code following software engineering and data engineering best practices

· Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities

 What required skill’s you need:

· 6+ years of hands-on data engineering experience with modern data stack technologies

· Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda

· Proficiency in Python for data processing, ETL, and application development

· Experience with PySpark on EMR for large-scale data processing

· Strong SQL skills for data analysis and transformation

· Experience building and maintaining ETL/ELT pipelines at scale

· Experience with Kafka for streaming data pipelines and real-time data processing

· Knowledge of data lake architectures and modern table formats (e.g., Iceberg)

· Experience with CI/CD practices using Git, version control systems, and containerization (Docker)

· Understanding of data modeling, data warehousing concepts, and analytics best practices

· Exceptional problem-solving and analytical skills

· Excellent collaboration and communication (verbal and written) skills

· Self-motivated with ability to work independently and manage multiple priorities

· Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends

 To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

This is a hybrid role (4 days in office/1 day remote).

About your team:

Interactive Brokers (IBKR) is seeking a Platform Engineer – Support to join our Information Technology team. This role provides first-level technical support for Microsoft Windows platforms across the organization. You will assist business and development end-users via phone, email, and a centralized ticketing system to resolve or escalate IT issues.

This position requires strong technical knowledge, polished communication skills, and a high sense of urgency. Ideal candidates will demonstrate intermediate expertise in Windows and networking technologies, patience with less technical users, and the ability to thrive in a fast-paced environment.

What will be your responsibilities within IBKR: 

• Provide timely technical assistance for issues related to computer systems, software, and hardware in accordance with departmental SLAs.
• Support users via phone, email, in-person, and remote tools.
• Troubleshoot and resolve issues involving desktops, laptops, virtual machines, smartphones, scanners, printers, and other peripherals.
• Install operating systems, applications, drivers, and configure system settings per departmental standards.
• Diagnose root causes of technical problems and implement permanent solutions to prevent recurrence.
• Document resolutions in the department’s knowledge base and contribute to self-help resources for employees.
• Maintain detailed records of incident activity, including contact attempts and resolution notes, and escalate when necessary.
• Participate in departmental and firm-wide projects as assigned.
• Attend training sessions and team meetings to support productivity and development goals.
• Interface professionally with employees at all levels, including executives, to promote a positive image of the IT department.
• Communicate effectively with both technical and non-technical colleagues.

Which skills are required:

• Associate’s degree in Computer Science or related field preferred.
• Certifications such as A+, Network+, Microsoft, or VMware are a plus.
• Minimum 2+ years of technical support experience, or equivalent education and training.
• Strong organizational, prioritization, and multitasking abilities.
• Team-oriented mindset with a commitment to knowledge sharing.
• Ability to explain technical concepts to non-technical stakeholders.
• Excellent interpersonal, written, and verbal communication skills.
• Detail-oriented, flexible, and self-directed.
• Resourceful and proactive in solving problems independently.
• Ability to manage multiple high-priority tasks in a technical environment

Technical Competencies

• Strong knowledge of Microsoft Windows desktop operating systems.
• Proficiency in Microsoft Office Suite.
• Working knowledge of:
  • Entra ID and Azure services
  • Administrative scripting (PowerShell, Python, etc.)
  • Intune packaging and PC deployments
  • TCP/IP, Wi-Fi, DNS, DHCP
  • Active Directory environments and Office 365 cloud applications
  • Desktop imaging, application deployment, hard drive encryption, domains, and group policies

 Company Benefits & Perks

Key Responsibilities:

• Lead the technical strategy and execution for SoundCloud’s ML systems (e.g., recommendation, ranking, personalization), including model development, deployment, and scaling
• Lead the exploration of advanced modeling techniques including Deep Neural Networks, LLMs, large recommender systems, multi-modal embeddings and transformer-based architectures to create unique and impactful listening experiences
• Define and drive the overall technical direction for ML in SoundCloud including model architecture, feature engineering, training and serving infrastructure at scale, feature stores, pipeline orchestration, and model registry and versioning all aimed at accelerating our ability to bring ML-powered features to market
• Own short- and long-term objectives, ensuring ML investments deliver measurable user and business impact
• Lead, mentor, and grow ML Engineers and Scientists across SoundCloud
• Be a strategic partner to the CTO in bringing an “ML Everywhere” strategy to all surfaces in the product (both Creator and Fan), and helping to lead the charge on AI-native engineering
• Stay current with industry trends and advancements in machine learning, identifying opportunities to apply them at SoundCloud
• Lead the leveraging of agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods

Experience and Background:

• 10+ years of experience in ML engineering, plus 3+ years in search or recommendations in an internet scale service with the reach of tens of millions of daily active users. Experience in a music streaming environment is a bonus
• Proven track record of defining technical strategy and driving execution for large-scale ML systems, particularly in recommendation, personalization, or search
• Experience setting technical roadmaps, influencing cross-functional priorities, and balancing business, product, and engineering trade-offs at an organizational level
• Experience leading and scaling teams of ML Engineers and Scientists, including hiring, mentoring, and developing high-performing talent
• Deep expertise in delivering data-driven products and ML solutions at scale on cloud-based platforms, with strong understanding of infrastructure and lifecycle management
• Hands-on familiarity with modern ML frameworks (PyTorch, TensorFlow) and data processing pipelines, combined with strong software engineering foundations
• Thought leadership in ML and data science, with a track record of driving technical innovation and applying emerging industry trends
• Exceptional communication, strategic influence, and cross-functional leadership skills across senior stakeholders and global teams

The salary range for this role is $280,000 - $325,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
• Robust 401k program
• Employee Equity Plan
• Generous professional development allowance
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

About the Role:

We're looking for seasoned full-stack software engineers to join the teams behind Gusto's customer-facing products — the features and experiences that small business owners and their employees rely on every day.

As a Staff Software Engineer, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships. 

If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us!

Here’s what you’ll do day-to-day:

• Design, build, and test Gusto core products such as Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro, among others
• Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
• Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
• Collaborate with our Product Management, Data, Design, and Platform Engineering teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
• Build products that our customers genuinely love

Here’s what we’re looking for:

• Successful applicants typically have 8+ years of software development experience
• Experience building scalable solutions that eliminate customer pain; passion for creating memorable experiences for customers
• Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities
• Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
• Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale
• Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your product area
• Ability to mentor engineers to maximize their performance and impact

Others:

• Experience in, or interest working in, Ruby on Rails 
• Appreciation for a collaborative, test-driven environment
• Ability to build well-structured, maintainable, well-documented code
• Ability to effectively communicate across engineering teams and with business stakeholders

Do you prefer platform development instead? Check out our Staff Software Engineer, Core Platforms job listing. 

Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.

Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering, and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

The Backup Team delivers essential infrastructure to help our customers in their hour of need - providing the ability to quickly restore a massive, distributed database to any point in time at the click of a button. The Backup Team’s mission is to make MongoDB backup more reliable, faster, and also cheaper.  This team is responsible for the Backup Agent (Go), the extensive server-side infrastructure (Java) which manages 100s of TB of data and processes billions of operations per day, and the user interface (Javascript)  that customers use to manage their backups.  Common project themes are performance, scaling, and ease of use. 

We're looking for someone who is

• Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Fond of chasing down tough problems in a distributed systems environment
• Cool under pressure - has wrangled production crises, and secretly finds this a little fun
• Experienced with Linux, and able to correlate application performance problems with underlying hardware limits
• Comfortable working across the stack of a modern web application
• Always striving to expand their knowledge
• Curious, collaborative and intellectually honest 

Responsibilities

• Work closely with product teams, considering the user’s perspective while helping the team achieve success
• Collaborate with team members over best practices and core concepts
• Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research & development
• Own our core values and adhere to them in your work, and
• Stay up to date with best practices in web engineering 

Success Measures

A Software Engineer will be successful in this role when they

• Are open, honest and willing to contribute and collaborate with others
• Develop confidence in finding their way across the platform
• Can take responsibility for the planning and execution of a major feature, representing Engineering when working with Product and Design
• Are willing to learn and contribute to all parts of the stack
• Are resolute in their approach to problem solving, balancing the needs of their team with the willingness to get to the bottom of issues

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273405624

What You’ll Do:

The Construction Project Management team is responsible for the global expansion of CoreWeave's physical infrastructure. This team oversees the entire lifecycle of hyperscale data center construction projects from inception to completion, partnering across functions to scale our footprint responsibly. If you are excited about supporting the infrastructure powering the AI revolution, this is the team for you.

About the Role:

The Assistant Project Engineer provides essential administrative, documentation, and coordination support to the construction project controls team. This role is responsible for ensuring accurate document tracking, maintaining information systems, supporting project reporting, and facilitating cross-functional communication throughout the full project lifecycle—from preconstruction through closeout. The Assistant Project Engineer plays a critical role in capturing and organizing project data to enable informed decision-making by senior project leadership.

In this role, you will:

Document Control & Information Management

• Manage document control processes, ensuring timely filing, tracking, and retrieval of all project documents
• Monitor the flow of documents within the project, ensuring deadlines are met and that documents are reviewed, approved, and signed off as required
• Archive project documents systematically for future reference and compliance
• Enter and update project information in construction management software
• Enter and update milestone dates in Asana project management platform

Reporting & Communication

• Produce weekly and monthly project-level reports in coordination with the Project Controls Engineer
• Assist with monthly portfolio reporting as directed
• Document and store project risk information, schedule updates, and post-mortem cost analyses as directed
• Produce regular reports on document status, flagging potential issues to the project team

Project Controls Support

• Support the Project Controls Engineer with reviewing and validating change orders and pay applications
• Assist with the coordination of supply chain purchase orders and change orders
• Coordinate with the Project Controls Engineer on NRC creation, PO submissions, and lease amendments
• Support governance and controls playbook documentation and maintenance

Field & Construction Coordination

• Support field coordination and logistics in collaboration with the Construction Manager and Project Controls team
• Assist with QAQC documentation and reporting processes
• Support project closeout activities, ensuring all documentation is complete and properly filed
• Coordinate with project teams, including design, TPM, capacity, network, facilities, AV/IT, workplace, and security

Safety

• Maintain a shared responsibility for project safety awareness and adherence to company safety protocols
• Participate in safety reporting and documentation as required

Who You Are:

• Possess a B.S. or B.A. degree in Construction Management, Architecture, Engineering, or a related field, or equivalent practical experience
• 1+ years of experience in a construction, engineering, or project controls environment (internship experience considered)
• Demonstrate proficiency in Microsoft Office Suite and Google Workspace.
• Proficiency in Microsoft Office Suite (Word, Excel, Outlook)
• Maintain organized and accurate project documentation, schedules, and reports
• Communicate effectively, both verbally and in writing, with internal teams, vendors, and external partners
• Effectively manage and prioritize multiple complex tasks and project deadlines to maintain project momentum
• Maintain a valid driver's license and the ability to travel to job sites as required for project needs

Preferred:

• Experience with project management platforms such as Asana, Procore, or similar construction management software
• Familiarity with construction project controls concepts, including budgets, schedules, and change management
• Exposure to document control systems and best practices
• Experience with Jira or similar ticketing/workflow tools
• Hold a proven knowledge of construction components, methodologies, and the ability to interpret complex construction documents

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love to manage the logistical and organizational details of complex technical projects.
• You’re curious about the intricate infrastructure that powers the future of computing.
• You’re an expert in coordinating across ambiguous environments to drive successful outcomes.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $91,000 to $121,000. The starting sala y will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You'll Do:

The Fleet Reliability Operations team is responsible for the day-to-day provisioning, management and uptime of CoreWeave’s ever-expanding fleet of server nodes. Playing a central role in CoreWeave’s growth strategy, this team is on the front line for configuration, updates and remote troubleshooting of our highest tier of supercomputing clusters and their networking, delivery platforms and tools dependencies. You will be in a daily battle with the forces of entropy to maximize the number of nodes CoreWeave can deliver to customers.

We are seeking curious, creative and persistent problem solvers to join our Fleet Reliability Operations team to help us drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise. This individual will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on. 

• Configure and maintain large-scale high-performance supercomputing clusters running state-of-the-art GPUs
• Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware and platform teams to drive resolution
• Monitor and analyze system performance and take appropriate remediation actions for cloud health
• Approach your work with flexibility and optimism anticipating shifting business and technical priorities
• Create and maintain documentation of team processes, knowledge and best practices for system management
• Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency
• Participate in oncall rotations which include after hours and weekend work

Who You Are:

Minimum Qualifications

• Strong understanding of Linux system administration and internals
• Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably
• Software development or scripting languages (bash, python, powershell, etc)

Preferred Qualifications

• 2 + years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix)
• Grafana, Prometheus, promsql queries or similar observability platforms
• Data center environments including server racks, HVAC systems, fiber trays
• Kubernetes administration
• HPC - administering GPU-related workloads
• Bachelor’s degree in a related field or equivalent experience 

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $83,000 to $110,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

P-226

As a Specialist Solutions Architect (SSA) - AI/ML Engineering, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.  
• Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

About the role

We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important  initiative for Chime. 

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, develop, test, and deploy components of a new financial platform
• Deliver secure, reliable, and high-performance infrastructure and APIs
• Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Learn and execute on agile methodologies, follow test driven development approach
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• Must have experience in Go
• Experience in additional backend languages such as Ruby, Java and Python is preferred
• Have 4+ years of engineering experience
• Have contributed to the development of backend systems
• Experience in payment processing systems
• Take a rigorous approach to testing backed development
• Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
• Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
• Have worked in continuous integration/deployment environments as a bonus!
• Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.

#LI-Onsite #LI-GC1

About the Role

Together AI is building the Inference Platform that powers the world's most advanced generative AI models. Your role will be a critical bridge between cutting-edge research and real-world applications, focusing on making translating our internal model training research to production-ready deployment for our customers. This involves a deep commitment to data-centric development, meticulous hyperparameter tuning, and rigorous checkpoint evaluation before models ever hit production.

This role will involve understanding customer specific needs and fine-tuning models on our internal data recipe and their proprietary data. The goal is to transform general-purpose models into highly performant, specialized tools that solve real business problems. You will not be training foundation models from scratch but rather focusing on creating highly efficient, specialized models by working with dedicated GPU clusters.

Responsibilities

• Design and iterate on novel speculator algorithms, combining architectural innovations with carefully curated data to push the frontier of accuracy–efficiency tradeoffs.
• Be the critical link between raw data and a production-ready model, seeing your work directly impact our customers' success.
• Work in a fast-paced, high-impact role at the cutting edge of generative AI.
• Collaborate with a team of experts dedicated to solving real-world, high-performance challenges.
• You'll collaborate directly with customers to understand their needs, and work closely with our core inference and Applied ML research teams to integrate your work into the production platform.
• A culture of deep technical ownership where you are empowered to take on and solve challenging problems

Requirements

• A genuine love for data curation and processing, with a meticulous attention to detail. You believe that great models start with great data.
• Demonstrated ability to perform effective hyperparameter searches and understand the trade-offs involved in tuning models for specific tasks.
• Experience working with and building on top of existing training codebases. You are comfortable navigating complex code and contributing to its improvement.
• Strong attention-to-detail in evaluating model checkpoints to ensure they meet strict quality, performance, and reliability standards.
• Experience with Python and PyTorch.
• Familiarity with SLURM and/or Kubernetes clusters and experience submitting and managing jobs in a high-performance computing environment.
• Familiarity with modern LLMs and generative models.
• Basic understanding of distributed training frameworks (e.g., FSDP, DeepSpeed).
• Bachelor’s, Master’s degree, or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, ATLAS, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

About the Role

As a seasoned Infrastructure Engineer, you will design, manage, and scale our high-performance computing environments. This role bridges the gap between traditional system
administration and modern platform engineering, focusing on reliability, automation, and the stringent security requirements of the financial services industry. You will be responsible for a
hybrid ecosystem that spans AWS cloud and on-premise systems, ensuring 99.99% uptime for mission-critical services and transactions.

What You’ll Do

• Linux Systems Engineering: Design and manage high-performance Linux environments including Ubuntu, RHEL, or Amazon Linux. Focus on tuning for low-  latency financial applications and system-level hardening
• Infrastructure as Code (IaC): Architect and maintain scalable cloud infrastructure using Terraform and Ansible, treating infrastructure as a software project with version control
  and peer reviews
• Hybrid Networking: Manage connectivity between cloud environments and on-premise systems, focusing on secure VPC design, VPNs, and routing
• On-Premise Management: Manage physical switches, routers, and firewalls, with an understanding of multicast, VLANs, and interface aggregation
• CI/CD & Release Engineering: Build and optimize deployment pipelines to ensure system updates, patches, and application code are deployed safely and frequently
• Observability & Reliability: Implement comprehensive monitoring (using Prometheus, Loki, and Grafana) to track system SLIs/SLOs and implement automated alerting or self-
  healing scripts
• Container Platform Management: Support and scale Docker / Podman environments, focusing on pod networking and container runtimes
• Infrastructure Security: Implement "shift-left" security, including OS-level hardening (SELinux, AppArmor), automated vulnerability scanning, and IAM policy refinement

What You’ll Need

• Education: Bachelor’s degree in Computer Science, Engineering, IT, or a related field
• Systems Expertise: 3+ years of experience in Linux Administration or Infrastructure Engineering
• System Internals: Deep knowledge of system performance profiling (e.g., top, iostat, strace) and comfort with Linux system fundamentals (i.e. Systemd, LVM, and Cron)
• Automation Proficiency: Strong proficiency in Ansible and Terraform for infrastructure and system automation. Bash and/or Python experience for custom tooling as required
• Cloud & Networking Fundamentals: Hands-on experience with AWS Networking fundamentals (VPCs, Routing Tables, and Nat Gateways). Solid understanding of TCP/IP, DNS, and routing protocols like BGP or OSPF
• Container Runtime: Experience with container runtimes in a Production environment (Docker / Podman, Docker Compose). Kubernetes experience is a plus
• Problem Solving: Ability to perform root-cause analysis on complex distributed systems
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Required)

• Compliance Knowledge: Experience working within regulated environments such as SOC2, or FINRA
• High-Availability Architecture: Experience building multi-region, failover-capable architectures for mission-critical financial transactions
• SDLC Architecture: Architecting deployment pipelines using GitHub actions, familiarity with AWS Secrets Manager for managing sensitive secrets, and other DevOps toolchain
  services
• Fintech Protocols: Basic understanding of financial messaging or low-latency requirements, such as FIX protocol
• Security & Application Tuning: Experience with WAF, DDoS mitigation strategies, and tuning edge application services such as HAProxy
• Certifications: CompTIA Linux+, RHCSA/RHCE, or AWS SysOps Administrator

The Role

We’re excited to invite a Senior Staff Engineer to join our amazing team at SoFi! We are on a journey to build out a new team dedicated to developing innovative crypto products and services for our members. With recent developments paving the way for SoFi to re-enter the crypto space, we’re eager to expand our product offerings with intuitive, secure, and fully-featured solutions across crypto Investing, Transfers, Payments, Custody, and beyond.

As a member of our team, you’ll be right in the heart of the action—implementing functionality, architecting our systems, squashing bugs, maintaining the health of our code, and continuously growing as an engineer. We’re looking for someone who is both forward-thinking and hands-on, with a strong sense of ownership and a passion for delivering results. You’ll also be a great mentor and co-worker! At SoFi, we take pride in the collaboration between Product, Design, and Engineering, and you’ll be involved in the entire product lifecycle—from ideation through building, deploying, and ongoing improvement and evolution.

Joining SoFi means becoming part of a new kind of finance company with a mission to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, helping everyone get their money right. We started with student loan refinancing, tackling the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Since then, we’ve expanded our products and services across loans, wealth management, and insurance. SoFi has seen significant growth and has ambitious plans ahead, but to continue this journey, we need talented individuals like you!

Key responsibilities:

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
• Shape the technical architecture across SoFi’s crypto stack—wallets, custody, trading, and beyond.
• Drive new ideas and technical strategies that push our crypto offerings forward.
• Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
• Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
• Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
• Mentor engineers and contribute to a culture of technical growth and curiosity.
• Lead discussions, reviews, and decisions across teams and with senior technical leadership.
• Make smart, pragmatic decisions that balance speed and quality.
• Stay curious—constantly learning new tools, protocols, and patterns in the evolving crypto space.
• Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.

What you'll need:

• 10+ years of programming experience, with significant experience in modern languages and familiarity with AI tools.
• BS Degree or equivalent from a fully-accredited college or university preferred.
• Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases, and mobile/web applications.
• Expertise with Java / Spring / Kotlin / PostgreSQL / AWS, and any modern Java frameworks, REST APIs, and relational databases.
• Deep understanding of code release, deployment orchestration/rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
• Experience with public cloud infrastructure.
• Excellent verbal and written communication skills and ability to work with stakeholders across disciplines.
• Understanding of blockchain fundamentals and distributed ledger technologies.
• Familiarity with digital assets across major chains (Bitcoin, Ethereum, etc.).
• Hands-on experience with smart contracts is a plus.
• Familiarity with custody, settlement, and clearing of crypto transactions.
• Experience with security and best practices for wallet management.
• Exposure to crypto trading platforms, market data, and DeFi protocols.
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage).
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions.
• Prior work in or collaboration with crypto-native companies or fintechs.
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services.

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

 What You’ll Be Part Of

At iSpot.tv, we deal with BIG data, operating in a high-scale AWS environment with thousands of servers processing massive streams of media metadata. As a Senior SDE, you are a foundational pillar of our engineering team. You don't just write code; you own entire domains, drive scalable solutions, and act as a "go-to" expert.

We are currently looking for an AI-native engineer—someone who views AI not as a novelty, but as a core component of their development lifecycle—to help lead our mission-critical data evolution, including our strategic migration from Redshift to Snowflake.

 Your Impact

1. Technical Excellence & Domain Ownership

• Coding & Debugging: You will design domains with testability and multiple teams in mind, creating extensible and shareable codebases. You are expected to provide prescriptive code reviews that suggest more acceptable code patterns and contribute to company-wide style guidelines.
• System Modernization: You will lead efforts to upgrade legacy systems, refactoring technical debt into scalable, modern architectures, including x-region database migrations and moving to EKS.
• Quality & Release: You will maintain a high standard of quality, setting the example for the team. This involves developing the architecture for our automation systems and expertly debugging complex issues within the CI/CD pipeline. You will be responsible for implementing secure deployment strategies, especially for large-scale, high-risk projects.

2. AI-Driven Productivity & Innovation

• AI-First Mindset: You are expected to be "AI-native." You will actively explore and learn about AI technologies that enhance the efficiency of the entire team’s work.
• Leading Adoption: You don't just use AI; you "create space" for teammates to improve their AI tooling through pairing, providing demos, and writing documentation.
• Creative Problem Solving: You are a pioneer in critical technologies, bringing creative solutions to complex, large-scale projects and ensuring your contributions can be extended far into the future.

3. Operational Excellence & Data Strategy

• Data-Driven RCA: You will propose and implement viable domain measurement solutions. You’ll play a lead role in researching external solutions and leading root cause analysis (RCA) for complex, multi-domain incidents.
• Operational Efficiency & Toil Reduction: You are expected to proactively improve the current state of operations by identifying and reducing toil. You will apply a "Platform Engineering" mindset to automate repetitive manual tasks, ensuring the team remains focused on high-value engineering.
• Scalability & Influence: You will build internal networks to improve organizational speed and the quality of technology solutions, removing obstacles for the team as they arise. You are the "go-to" person for the team, identifying trends and introducing broad solutions to address systemic issues.
• Cost-Conscious Engineering: You will drive a mature cost-optimization strategy, ensuring that architectural decisions and cloud resource utilization are both performant and cost-efficient. You are expected to balance technical excellence with business value, treating cost-consciousness as a core pillar of system reliability.

4. Leadership & Collaboration

• Strategic Alignment: You routinely work cross-functionally to align partners and stakeholders with the project vision and strategy.
• Mentorship: You mentor less experienced team members, ensuring your communication promotes clarity and inspires action. You onboard and coach other engineers in adopting an AI-first mindset, focusing on low-risk strategies.
• Conflict Resolution: You are adept at handling personal conflicts within the team and navigating ambiguity to reach strategic milestones.

 What You Bring

• Experience: Significant experience developing software for shareable features across multiple engineering projects. Experience leading small-to-mid-sized technical initiatives is required.
• Architectural Leadership: Proven ability to make high-level architectural decisions, including redesigning legacy services to ensure they are highly reliable and operable. You follow industry best practices for high-availability API design and the streamlining of complex database operations.
• Platform Engineering: Hands-on experience with Platform Engineering principles, focusing on internal developer experience, infrastructure abstraction, and building self-service capabilities for engineering teams.
• Cloud Native: Expert knowledge of AWS (S3, Lambda, EC2, IAM).
• Tech Required: Java, Spring Boot, MySQL, RabbitMQ (or similar message broker), Kubernetes/EKS, Docker, CI/CD pipelines.
• Tech Preferred: Redshift, Helm, Terraform, Gradle, Groovy.
  • Bonus: Proven experience or a deep architectural understanding of migrating data workloads from Redshift to Snowflake.
• AI Native: Experience using AI coding assistants and LLMs to accelerate development (e.g., Kiro, Gemini, Copilot, Cursor, or similar).
• Soft Skills: Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership). Excellent problem-solving and analytical skills.

 Preferred Qualifications

• Experience in Ad-Tech or high-throughput "Big Data" processing environments.
• Experience with Infrastructure as Code (Terraform) and CI/CD concepts (CircleCI).

A track record of identifying trends in incidents and introducing broad solutions to address them.

Target cash compensation range: $136,100 - $170,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Hybrid

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

Why This Role Exists
Most teams slow down to achieve quality.
We believe the opposite: quality is what enables speed.

We are building an AI-first engineering organization where developers ship fast, confidently, and continuously. That only works if someone owns the system of how quality, data, and delivery come together.

That someone is you.

This is not QA. This is not project management.
This is a high ownership role where you shape how an AI-First team builds, validates, and ships production software.

What You Will Own

Make Quality a Built-In System, Not a Gate

• Turn quality into developer behavior, not a downstream function
• Teach engineers to anticipate failure modes, edge cases, and data issues before writing code
• Build automated test systems that act as guardrails, not overhead
• Define what “production-ready” actually means and enforce it through systems, not process
• Eliminate “hope-driven releases”

Define What’s Buildable Before It Gets Built

• Partner with Sales and Product to pressure test ideas early
• Answer: Is this possible? With what data? At what cost? With what trade-offs?
• Translate ambiguity into clear execution plans engineers can run with
• Kill bad ideas early. Shape good ones into something buildable

Own the Data Reality

• Map and understand how data actually flows, not how people think it flows
• Identify what data exists, what is missing, and what is unreliable
• Navigate internal systems and third-party integrations with confidence
• Ensure every feature is grounded in real, usable data, not assumptions

Bring Domain Depth (MarTech / AdTech + Healthcare)

• Apply real-world understanding of identity, activation, measurement, and data constraints
• Operate within healthcare realities, including compliance and sensitivity of data
• Ensure what we build is not just technically correct, but market-relevant and viable

Drive Delivery Like an Owner

• Run delivery for a team of AI-first engineers
• Break down work into clear, executable steps with no ambiguity
• Drive predictable delivery without slowing the team down
• Surface risks early and adjust before they become problems
• Align Product, Engineering, and GTM without friction

Redefine QA for AI-First Development

• Build testing strategies for AI-generated and non-deterministic systems
• Validate outputs, not just code
• Create evaluation frameworks for AI reliability, accuracy, and behavior
• Ensure AI accelerates development without degrading quality

What Makes You a Strong Fit

• You have likely outgrown traditional QA or delivery roles
• You think in systems, not tickets
• You can go from data model → product requirement → test strategy → delivery plan without handoffs
• You are comfortable pushing back on Product and Sales when things do not make sense
• You know how to make engineers better without becoming a bottleneck
• You care deeply about what happens in production, not just what gets shipped
  
  

Your Background Likely Includes

• Deep experience in quality engineering, SDET, or technical delivery leadership
• Strong hands-on experience with test automation and CI/CD systems
• Ability to query and reason across complex data systems (SQL required)
• Experience with AI-assisted development or ML/LLM-based systems
• Strong familiarity with MarTech / AdTech ecosystems, healthcare is a major plus

What Success Looks Like

• Engineers ship to production with confidence, not hesitation
• Bugs are caught before customers ever see them
• Automated tests are trusted, fast, and low maintenance
• Discovery is grounded in data reality, not assumptions
• Delivery is predictable without heavy process
• The team moves fast because quality is built in, not added later
  

Why You Should Join

• You will define how an AI-first engineering organization actually operates
• You will have real ownership across quality, data, and delivery
• You will work on high-impact MarTech / AdTech problems in healthcare
• You will operate in a team that values speed, clarity, and production outcomes
  

Bottom Line

If you want to:

• Move beyond QA as a function
• Operate as a force multiplier for an engineering team
• Build systems that let teams ship fast without breaking things
• This role is for you.

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $150,000 - $200,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-TS1

About The Role

We are seeking a Senior Project Engineer in the Global Services division with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance, and Access Control. You will partner with the Global Services Manager and Territory Account Executives to service large and strategic customers within the Verkada footprint. In this role, you will interface with customers and partners on post-sales deployment project management, assisting with technical issues and providing expert-level configuration and training on Verkada Products. We need someone who will be highly motivated, able to learn quickly, and work independently while making an impact on the success of our Global deployments. 

We are committed to a thriving in-office culture. This role requires that you be on-site 5 days per week in New York City, NY.

What You'll Do

• Be the subject matter authority on the full Verkada suite of products and offerings and provide expert-level service to customers during the post-sales process
• Serve as the project management arm for customer accounts, ensuring successful deployments of Verkada products in the customer’s environment
• Magnify the value of Verkada products for customers through configuring and fine-tuning product features, use cases, and analytics; provide vendor-led training to customers
• Effectively serve as the technical voice to all levels of customer, from C-level executives to loss prevention managers and directors of IT
• Work directly with your Global Services Manager and Sales Account Executives to develop services strategies and workflows for the customer, as well as participate in cross-selling and up-selling opportunities
• Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings

What You Bring

• 4+ years of experience as a Sales Engineer, Technical Account Manager, Network Engineer, or Professional Services Consultant with a proven track record of working with Fortune 500 companies
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information and Computer Technology, Networking, IT Security, or similar field 
• Ability to gain FedRAMP Compliance: Must be a U.S. Citizen or Permanent Resident (Green Card) 
• Strong background in Computer Networking: HTTPS/SSL, VLANs, TCP/IP, DNS, NAT devices, DHCP servers, firewalls, and software systems
• Outstanding written & verbal communication skills to efficiently articulate technical matters with customers and partners
• Entrepreneurial and positive attitude with a strong desire to learn
• Ability to adapt to an ever evolving workplace and company
• Genuine excitement for software/hardware products, Cloud Security, and IoT devices
• Travel up to 25%

Preferred Qualifications

• Industry certifications such as AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+
• Experience working with Linux systems 
• Previous startup experience

Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend 
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time.

Hex's user base is continuing to grow rapidly. We are hiring a Sales Engineer to partner with potential customers to support their Hex evaluations.

About the role

Hex is redefining how teams work with data - combining notebooks, apps, BI, and AI-native workflows into a single collaborative analytics platform. Companies like Anthropic, Cursor, and Brex rely on Hex as a core part of how their data teams operate.

We’re at an exciting stage of growth. Hex is scaling rapidly, with strong momentum in the mid-market and SMB segments. This is a high-impact moment to join: our go-to-market motion is accelerating, our AI capabilities are evolving quickly, and Sales Engineers play a central role in shaping how we win.

As a Sales Engineer, you will leverage your product, ecosystem, and technical expertise to shape how our potential customers evaluate and adopt Hex. You will partner with the Sales team to help prospects understand the challenges in their current state, connect Hex’s value to those challenges, own the technical evaluation, and set them up for long-term success as a customer. This is a consultative, highly technical position where you’ll influence deal strategy, inform product direction, and act as the voice of the customer.

If you want to learn more about the team, what we do, and how we work, please check out our team page!

What you will do

• Serve as a trusted technical advisor to data teams (think: Data Scientist or Analyst writing SQL and Python) and build strong relationships to help them get the most out of Hex during their evaluations
• Own the technical sales cycle and work with end users throughout the Sales cycle from discovery and product demos through trials, and proofs of concept
• Partner closely with Account Executives to develop opportunity-level strategy, execute evaluations, and share feedback to improve your partnership
• Inform the product roadmap by synthesizing product feedback from prospects to share with internal Engineering & Product teams
• Project manage the architecture, security, and technical reviews that prospects require
• Develop content to support users who are a part of evaluations ie. demo projects, documentation, videos, etc.
• As needed, travel to customer on-sites and marketing events to deliver demos and build strong customer relationships

Who you might be

You might be a fit for this role if you have:

• 5+ years of professional work experience
• 3+ years in a Sales Engineer, Solutions Engineer, or similar customer-facing technical role
• Experience working with Mid Market customers (250-2500 employees)
• Experience with land POC/Technical Sales Motions
• Familiarity with data science tooling and workflows, including Python, SQL, and BI tools (Bonus points if you have spent lots of time in notebooks, SQL IDEs, or app-building frameworks.)
• A strong track record of talking to customers - from IC users to senior stakeholders - and solving their problems
• You're an excellent communicator who builds empathy, shares feedback, and grows successful relationships with internal and external stakeholders
• A generalist technical skillset: you don't need a CS degree, but should have a passion and interest for technology and be a creative problem solver
• Experience or interest in working in an early-stage startup environment

In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.

The OTE (base + variable) range for this role is: $175,000 - $200,000.

The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the process.

By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! To ensure our users make the most out of Algolia’s powerful features, we need to first make sure that they understand our offerings and are able to set everything up quickly. 

The Growth org aims to help Algolia grow by working on changes in the product, introducing new features, and providing the best possible user experience. You will get to shape the user experience of our customers as they start using Algolia, help create a new Growth platform, mentor software engineers, and introduce best practices.

A few projects we’ve worked on recently include:

• New data integrations with other developer platforms
• New marketplace and billing integrations
• New internal platforms such as notifications, experimentation, feature flagging
• AI based data processing platforms

Your role will consist of: 

• Coming up with innovative solutions to help users get the most out of Algolia
• Executing experiments and A/B tests to choose the best possible solution
• Collaborating with Product and Design teams to identify and ideate on opportunities
• Mentoring other software engineers and helping them grow
• Designing & developing a scalable growth platform
• Working with a wide range of teams to deliver a solid growth foundation
• Improving engineering quality, processes and tooling
• Helping define the team roadmap
• We follow a bottom-up approach: the teams come up with their own initiatives targeting our metrics and execute on them

You might be a fit if you have:

• Passion about delivering the best UX to diverse sets of users in various industries (engineers, marketers, merchandisers, etc.)
• Mindset to take data driven decisions and analysing impact of the changes you introduce
• Experience with event driven infrastructure in GCP or AWS
• Experience with a server-side typed or untyped language
  • We use Ruby and have plans to integrate more Golang, so willingness to learn is important
• Experience with JavaScript, TypeScript, React, HTML/CSS –  this role is fullstack, we expect engineers to be able to ship across the stack

Nice to have:

• Experience working in a scale-up or Growth team
• Experience with analytics platforms like Amplitude, Hex

#LI-hybrid

About the Role

The Backend Engineer at iCapital will play an integral role in designing and implementing systems that power the iCapital platform. We are looking for engineers who can build APIs and applications that are highly performant and intuitive. More than checking the boxes on specific technologies, we are looking for driven team members with technical depth and a desire to deliver end products for our clients.

You will work closely with our Investments Product Management team throughout the software development process.

Our platform sits on top of a micro-services architecture with services built in Scala, Ruby, Node.js and Python. If you are not already familiar with the technologies used at iCapital, you will have the opportunity to pick up these new tools and technologies while on the job—with support from management and mentors.

Responsibilities

• Building cloud native services using Scala using open-source frameworks Akka, ZIO etc.
• Unit and integration test development using Scala Test
• Active participation in stand-up meetings
• Active participation in Peer Code Reviews as part of our standard SDLC and Change Management Process
• Support clients through system integrations and production issues

Qualifications

• Degree in Software Engineering
• 9+ years of web-based application development
• 2+ years experience in Scala. (Node.js or Java is a plus)
• Demonstrated understanding of relational or NoSQL database concepts and modeling practices
• Passion for actively learning new technologies
• Ability to work independently or as part of a group effort, as required
• Solid problem-solving abilities
• Excellent communication skills
• Collaborative approach to software development

Benefits

The base salary range for this role is $160,000 to $200,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role 

The Backend Engineer at iCapital will play an integral role in designing and implementing systems that power the iCapital platform. We are looking for engineering manager that can lead the medium to large software engineering team through SDLC process and is comfortable operating in large scale organization with many cross-team dependencies. More than checking the boxes on specific technologies, we are looking for driven team members with technical depth and a desire to deliver end products for our clients. 

You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found via testing.   

Our platform sits on top of a micro-services architecture with services built in Scala, Ruby, Node.js and Python. If you are not already familiar with the technologies used at iCapital, you will have the opportunity to pick up these new tools and technologies while on the job—with support from management and mentors. 

Responsibilities 

• Building cloud native services using Scala using open-source frameworks Akka, ZIO etc. 

• Lead the direction and development of the firm’s go-to-market strategy. 

• Develop new and existing relationships with investment banks, third-party distributors, and distribution partners to develop the product category for the firm. 

• Work with internal technical partners to create a product offering that meets the needs of our clients. 

• Lead platform and system demonstrations for new prospects, lead responses to RFPs, and work collaboratively with internal and external cross-functional teams platform onboarding and ongoing client development. 

• Maintain synchronization across various industry groups to deliver a robust platform solution that addresses key stakeholders needs. 

• Take ownership of projects and provide strong analytical support to teammates. 

• Develop presentations with significant data and analysis for internal meetings and projects. 

• Active participation in Peer Code Reviews as part of our standard SDLC and Change Management Process 

Qualifications 

• Degree in Software Engineering 

• 10+ years of cloud-based application development 

• Experience in Scala, Node.js or Java a plus 

• Demonstrated understanding of relational or NoSQL database concepts and modeling practices 

• Passion for actively learning new technologies 

• Ability to work independently or as part of a group effort, as required 

• Solid problem-solving abilities 

• Excellent communication skills 

• Collaborative approach to software development 

• Proven analytical skills, problem solving ability, and attention to detail 

• Strategic mindset and ability to work independently 

Benefits

The base salary range for this role is $200,000 to $250,000 depending on level and experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

iCapital is looking for a Software Developer in Test to work on the iCapital platform. In this role, you’ll bring practical knowledge of agile development methodologies and engineering best practices. As a Software Developer in Test (SDET), you’ll work closely with the Development and Testing team. The ideal candidate would be a combination of a hands on developer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing.

Responsibilities

• Build and implementation of robust automated test suites.
• Integration of automated test suites with the current build and deployment processes.
• Maintenance of automated tests to accommodate changes in system design and architecture.
• Integration of Automation framework with existing tools (JIRA).
• Create/Manage/Utilize Defect workflows with automated test execution.
• Design and publish meaningful metric to support automation test creation and execution.
• Build and implementation of performance test suites.
• Perform all types of testing – Functional. API, Automation, Performance and Load

Qualifications

• 8+ years of experience with QA engineering delivery experience
• 4+ years of delivery within Agile SDLC/teams ideally with CICD
• Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD)
• Experience with Java microservices and REST APIs and exposure to React front end
• Agile development approach
• Technologies: Java, JavaScript, IntelliJ/Eclipse
• CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
• AI Integration experience preferred
• Exposure to banking and/or finance environments preferred
• Testing: Junit, Playwright, Protractor, JMeter or similar

The base salary range for this role is $110,000 to $145,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).  

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ 

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025.

iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below). 

About the Role

iCapital is seeking a Forward Deployment AI Engineer (FDE) to accelerate the delivery of production-grade AI capabilities into real business workflows. This role is ideal for an engineer who thrives at the intersection of engineering, solution design, and stakeholder partnership. The ideal candidate can take ambiguous requirements, rapidly build working solutions, deploy them safely into production environments, and iterate based on real-world usage.

On the AI/ML team, this individual will work closely with AI/ML engineers, Product and Business Partners, and downstream Technology teams to embed AI systems directly into day-to-day operations using platforms such as Copilot Studio, Power Automate, and other agentic solutions. This role is expected to combine strong technical execution with crisp communication, operational discipline, and a bias toward measurable business impact.

Responsibilities

• Own forward deployment end-to-end for AI-powered solutions (i.e. discovery, scoping, prototyping, integration, production rollout, monitoring, and iteration) based on outcomes.
• Partner with stakeholders to translate business problems into deployable solutions such as running working sessions, clarifying requirements, defining success metrics, and managing tradeoffs to drive adoption.
• Integrate agentic workflows and capabilities into business systems, orchestrating tools, automations, and decision flows to support end to end AI driven processes.
• Drive project execution for AI deployments, including workplan definition, milestone tracking, dependency and risk management, stakeholder communication, and launch coordination across engineering, product, and business teams.
• Establish measurement and feedback loops, instrumenting workflows to track quality, throughput, and business KPIs, and using those signals to drive continuous improvement post-launch.
• Debug and resolve production issues spanning model behavior, data quality, automation logic, and system integrations and coordinate across teams to root-cause and remediate issues quickly.
• Document and enable through clear handoffs, reference architectures, and internal documentation for both technical and non-technical audiences.

Qualifications

• 3-6+ years of experience delivering production software or applied AI systems into real operational environments
• Proven experience leveraging AI to automate, orchestrate, and scale operational processes
• Strong proficiency in Python, with the ability to integrate custom services into broader enterprise workflows
• Experience with cloud-native development patterns (i.e. AWS), including deployment, monitoring and observability, and best operational practices
• Demonstrated ability to work through ambiguous problem statements, structure discovery, and deliver solutions with measurable business impact
• Strong written and verbal communication skills and comfort working directly with business stakeholders
• Hands-on experience building solutions with Copilot Studio, Power Automate, or other agentic solutions, especially for AI-driven workflow automation and agent-based interactions
• Familiar with enterprise integration patterns (i.e. service-to-service auth, eventing, APIs, data contracts) and operating AI systems in regulated environments
• Strong operational mindset such as logging, monitoring, dashboards, incident response, and postmortems
• Familiar with agent communication protocols (i.e. MCP, A2A) is a plus

Benefits

The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role 

The Backend Engineer at iCapital will play an integral role in designing and implementing systems that power the iCapital platform. We are looking for engineering manager that can lead the medium to large software engineering team through SDLC process and is comfortable operating in large scale organization with many cross-team dependencies. More than checking the boxes on specific technologies, we are looking for driven team members with technical depth and a desire to deliver end products for our clients. 

You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found via testing.   

Our platform sits on top of a micro-services architecture with services built in Scala, Ruby, Node.js and Python. If you are not already familiar with the technologies used at iCapital, you will have the opportunity to pick up these new tools and technologies while on the job—with support from management and mentors. 

Responsibilities 

• Building cloud native services using Scala using open-source frameworks Akka, ZIO etc. 

• Lead the direction and development of the firm’s go-to-market strategy. 

• Develop new and existing relationships with investment banks, third-party distributors, and distribution partners to develop the product category for the firm. 

• Work with internal technical partners to create a product offering that meets the needs of our clients. 

• Lead platform and system demonstrations for new prospects, lead responses to RFPs, and work collaboratively with internal and external cross-functional teams platform onboarding and ongoing client development. 

• Maintain synchronization across various industry groups to deliver a robust platform solution that addresses key stakeholders needs. 

• Take ownership of projects and provide strong analytical support to teammates. 

• Develop presentations with significant data and analysis for internal meetings and projects. 

• Active participation in Peer Code Reviews as part of our standard SDLC and Change Management Process 

Qualifications 

• Degree in Software Engineering 

• 7+ years of cloud-based application development 

• Experience in Scala, Node.js or Java a plus 

• Demonstrated understanding of relational or NoSQL database concepts and modeling practices 

• Passion for actively learning new technologies 

• Ability to work independently or as part of a group effort, as required 

• Solid problem-solving abilities 

• Excellent communication skills 

• Collaborative approach to software development 

• Proven analytical skills, problem solving ability, and attention to detail 

• Strategic mindset and ability to work independently 

Benefits

The base salary range for this role is $160,000 to $220,000 depending on level and experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients.

We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance.

As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads.

Responsibilities

• Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring).
• Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services.
• Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure.
• Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform).
• Implement model versioning, experiment tracking, and artifact management across environments.
• Ensure reliability, scalability, observability, and cost efficiency of AI platforms.
• Partner with AI/ML engineers to operationalize models and standardize deployment patterns.
• Implement monitoring and alerting for system health, model performance, and drift.
• Enforce security, compliance, and governance requirements for AI workloads.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Document standards, best practices, and reference architectures for MLOps and AI infrastructure.

Required Qualifications

• 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud.
• Experience supporting machine learning systems in production, including deployment and monitoring concerns.
• Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required).
• Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking.
• Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD).
• Strong proficiency with Terraform and scripting/programming in Python or similar languages.
• Solid Linux, systems, and troubleshooting fundamentals.
• Excellent communication skills and ability to work across teams.
• Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores).
• Exposure to Generative AI / LLM workloads in production environments.
• Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage).
• Experience operating in regulated or fintech environments.
• Background in cost optimization for compute‑intensive workloads.
• Strong written and verbal communication skills.
• AWS certifications are a plus.

Benefits

The base salary range for this role is $180,000 to $230,000 depending on experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

Who You Are:

Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures. You have experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks.

As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and DevOps. 

Knowledge of the following is an advantage:

• Python, Go, Java
• Derivatives Pricing Models (SABR, SVI)
• Kafka, AWS SQS, or MQ
• Relational and non-relational Databases (Postgres, SQL Server, Databricks)
• Time series databases
• Spark
• FastAPI, Pydantic
• Jenkins
• AWS
• Caching Strategies and Implementations
• In-Memory Data Management
• Experience with Docker

What You’ll Do:

• Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For: 

• 6+ years of professional experience working in software development
• Experience with building data pipelines, APIs, and reporting tools
• Experience in Financial Technology
• Strong knowledge of data structures, their implementations, and optimization techniques
• University degree in computer science, physics, engineering, or equivalent programming experience

Bonus Points: 

• Experience with LLM Finetuning and RAG Optimization
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in quantitative trading

What We Offer:

• Competitive base salary and discretionary bonus
• Hybrid/Flexible Working Arrangements 
• Flexible Time Off (paid)
• 3% 401(k) company contribution
• Company-paid health and protective benefits for employees, partners, and other dependents
• Generous paid Parental Leave
• Competitive family planning benefits for US employees 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Free daily snacks and weekly breakfasts/lunches 
• Employee Resource Groups
• Free coaching and counseling sessions through Headspace

Apply now and join us on our mission to engineer a new economic paradigm.

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

About the Role

This role is for someone who wants to own the technical win. As a Senior Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 7+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $220,000–$270,000 annually
Base Salary: $154,000–$189,000 annually

We also offer meaningful equity compensation in the form of ISO options, with early exercise and a generous 10-year post-termination exercise window.

* Travel required for customer and team engagements.

About the team + role

Our group is building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers & sharp problem-solvers. Individuals who are wired to make an impact. Robinhood is where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We’re excited to invite talented and motivated Android Engineers to join our award-winning team to help expand Robinhood’s mobile experience for our customers.

The Futures Engineering team builds and operates the end-to-end futures trading platform at Robinhood. They own the systems that allow customers to trade futures products safely, reliably, and at scale—from market connectivity and order execution to risk controls, margining, and real-time customer experience. This is a mission-critical, highly regulated engineering space where correctness, performance, and trust matter as much as speed.

As an Android Engineer on the Futures Engineering team, you’ll build customer-facing mobile experiences that enable safe, intuitive futures trading on top of real-time, high-stakes financial systems. You’ll collaborate closely with backend, product, design, and risk partners to deliver performant, reliable features while helping translate complex trading concepts into simple, trusted Android workflows.

This team is based in our New York, NY office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

• Work with a fast-growing team to revolutionize finance at speed and scale
• Build smooth, stable, and elegant products with Kotlin and the newest Android APIs
• Own features from inception to design, implementation, and launch
• Work cross-functionally with Product Designers, Product Managers, Backend Developers, and Data team
• Work with Kotlin, Android SDK & Jetpack Compose, MVVM, Coroutines & Flow (preferred) OR RxJava, and Retrofit & Room

What you bring

• 2+ years of professional Android development experience building consumer Android applications at scale, preferably in Kotlin and Compose
• Attention to detail, passion for writing clean, readable and maintainable code
• Proficiency in Kotlin or Java, and Jetpack
• Desire to improve Robinhood's app and codebase to ensure outstanding quality for our all users
• Strong product sense and ability to collaborate with Product Managers and Designers
• Excellent communication skills and passion for solving technical challenges
• Bachelor’s degree in Computer Science or a related field preferred; equivalent training or work experience also acceptable

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.

Key responsibilities

• Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
• Partner across teams to ensure new compute capacity is ingested on time
• Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
• Collaborate with security owners to ensure clusters are provisioned secure-by-default
• Define and drive strategy on cluster scalability, homogeneity and fault tolerance
• Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
• Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
• Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
• Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

About the Role

This role is for someone who wants to own the technical win. As an Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 5+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $190,000–$250,000 annually
Base Salary: $133,000–$175,000 annually

We also offer meaningful equity compensation in the form of ISO options, with early exercise and a generous 10-year post-termination exercise window.

* Travel required for customer and team engagements.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is looking for a seasoned Software Engineer (C++) to join our development team. Our Core Security team is looking for a security focused engineer to help drive our various software security initiatives. The successful candidate will be committed to keeping our games and services fun for our players through defense against cheaters, hackers, exploiters, and all troublemakers. 

This is a full-time, permanent and in-office position based in Rockstar’s state-of-the-art game development studio in Edinburgh, Scotland. 

WHAT WE DO

• The Core Security team is responsible for protecting our players, employees, and business.
• We develop anti-cheat to preserve the integrity of our online experience.
• We build anti-piracy measures to preserve our intellectual property.
• We create and apply anti-tamper technologies to protect sensitive areas of code.
• We support all Rockstar titles including Grand Theft Auto V and Red Dead Redemption.
• We work closely with many cross-functional teams to enhance the security of our games.

RESPONSIBILITIES

• Create and innovate solutions to better secure our products from known vulnerabilities.
• Research and implement various forms of anti-tamper technologies and anti-cheat technologies.
• Debug exceptions to resolve issues related to obfuscation transformations and anti-tamper mechanisms.
• Performance profile protected and unprotected code to meet expected performance requirements.
• Follow software SDLC to integrate into the game team’s operations.
• Test cross-platform software solutions to ensure quality.

REQUIREMENTS

• 4+ years of experience working in a software/security development team using C++.
• Experience with security and/or game development.
• Excellent problem-solving skills with an emphasis on debugging C++ code.
• Analytical skills geared towards the measurement of system performance and memory use, plus the communication skills needed to generate solutions.
• Independently able to take objectives from ideation to execution.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Strong understanding of reverse engineering concepts and methodologies.
• Strong understanding of game protection technologies.
• Experience with disassemblers and decompilers: IDA Pro.
• Experience with core cryptography concepts.
• Experience with crash dumps and x64.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                                   

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is looking for a seasoned Software Engineer (C++) to join our development team. Our Core Security team is looking for a security focused engineer to help drive our various software security initiatives. The successful candidate will be committed to keeping our games and services fun for our players through defense against cheaters, hackers, exploiters, and all troublemakers. 

This is a full-time, in-office position based out of Rockstar’s unique game development studio in Oakville, ON. 

WHAT WE DO

• The Core Security team is responsible for protecting our players, employees, and business.
• We develop anti-cheat to preserve the integrity of our online experience.
• We build anti-piracy measures to preserve our intellectual property.
• We create and apply anti-tamper technologies to protect sensitive areas of code.
• We support all Rockstar titles including Grand Theft Auto V and Red Dead Redemption.
• We work closely with many cross-functional teams to enhance the security of our games.

RESPONSIBILITIES

• Create and innovate solutions to better secure our products from known vulnerabilities.
• Research and implement various forms of anti-tamper technologies and anti-cheat technologies.
• Debug exceptions to resolve issues related to obfuscation transformations and anti-tamper mechanisms.
• Performance profile protected and unprotected code to meet expected performance requirements.
• Follow software SDLC to integrate into the game team’s operations.
• Test cross-platform software solutions to ensure quality.

REQUIREMENTS

• 4+ years of experience working in a software/security development team using C++.
• Experience with security and/or game development.
• Excellent problem-solving skills with an emphasis on debugging C++ code.
• Analytical skills geared towards the measurement of system performance and memory use, plus the communication skills needed to generate solutions.
• Independently able to take objectives from ideation to execution.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Strong understanding of reverse engineering concepts and methodologies.
• Strong understanding of game protection technologies.
• Experience with disassemblers and decompilers: IDA Pro.
• Experience with core cryptography concepts.
• Experience with crash dumps and x64.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

For those based in Toronto, Rockstar will provide accommodations to job applicants and employees as long as such accommodations do not pose an undue hardship on Rockstar, and consistent with its obligations under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act.                       

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is looking for a seasoned Senior Software Engineer (C++) to join our development team. Our Core Security team is looking for a security focused engineer to help drive our various software security initiatives. The successful candidate will be committed to keeping our games and services fun for our players through defense against cheaters, hackers, exploiters, and all troublemakers. 

This is a full-time, in-office position based out of Rockstar’s unique game development studio in Oakville, ON. 

WHAT WE DO

• The Core Security team is responsible for protecting our players, employees, and business.
• We develop anti-cheat to preserve the integrity of our online experience.
• We build anti-piracy measures to preserve our intellectual property.
• We create and apply anti-tamper technologies to protect sensitive areas of code.
• We support all Rockstar titles including Grand Theft Auto V and Red Dead Redemption.
• We work closely with many cross-functional teams to enhance the security of our games.

RESPONSIBILITIES

• Create and innovate solutions to better secure our products from known vulnerabilities.
• Research and implement various forms of anti-tamper technologies and anti-cheat technologies.
• Debug exceptions to resolve issues related to obfuscation transformations and anti-tamper mechanisms.
• Performance profile protected and unprotected code to meet expected performance requirements.
• Follow software SDLC to integrate into the game team’s operations.
• Test cross-platform software solutions to ensure quality.

REQUIREMENTS

• 7+ years of experience working in a software/security development team using C++.
• Experience with security and/or game development.
• Excellent problem-solving skills with an emphasis on debugging C++ code.
• Analytical skills geared towards the measurement of system performance and memory use, plus the communication skills needed to generate solutions.
• Independently able to take objectives from ideation to execution.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Strong understanding of reverse engineering concepts and methodologies.
• Strong understanding of game protection technologies.
• Experience with disassemblers and decompilers: IDA Pro.
• Experience with core cryptography concepts.
• Experience with crash dumps and x64.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

For those based in Toronto, Rockstar will provide accommodations to job applicants and employees as long as such accommodations do not pose an undue hardship on Rockstar, and consistent with its obligations under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act.                        

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is looking for a seasoned Software Engineer (C++) to join our development team. Our Core Security team is looking for a security focused engineer to help drive our various software security initiatives. The successful candidate will be committed to keeping our games and services fun for our players through defense against cheaters, hackers, exploiters, and all troublemakers. 

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• The Core Security team is responsible for protecting our players, employees, and business.
• We develop anti-cheat to preserve the integrity of our online experience.
• We build anti-piracy measures to preserve our intellectual property.
• We create and apply anti-tamper technologies to protect sensitive areas of code.
• We support all Rockstar titles including Grand Theft Auto V and Red Dead Redemption.
• We work closely with many cross-functional teams to enhance the security of our games.

RESPONSIBILITIES

• Create and innovate solutions to better secure our products from known vulnerabilities.
• Research and implement various forms of anti-tamper technologies and anti-cheat technologies.
• Debug exceptions to resolve issues related to obfuscation transformations and anti-tamper mechanisms.
• Performance profile protected and unprotected code to meet expected performance requirements.
• Follow software SDLC to integrate into the game team’s operations.
• Test cross-platform software solutions to ensure quality.

REQUIREMENTS

• 4+ years of experience working in a software/security development team using C++.
• Experience with security and/or game development.
• Excellent problem-solving skills with an emphasis on debugging C++ code.
• Analytical skills geared towards the measurement of system performance and memory use, plus the communication skills needed to generate solutions.
• Independently able to take objectives from ideation to execution.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Strong understanding of reverse engineering concepts and methodologies.
• Strong understanding of game protection technologies.
• Experience with disassemblers and decompilers: IDA Pro.
• Experience with core cryptography concepts.
• Experience with crash dumps and x64.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                                   

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is looking for a seasoned Senior Software Engineer (C++) to join our development team. Our Core Security team is looking for a security focused engineer to help drive our various software security initiatives. The successful candidate will be committed to keeping our games and services fun for our players through defense against cheaters, hackers, exploiters, and all troublemakers. 

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• The Core Security team is responsible for protecting our players, employees, and business.
• We develop anti-cheat to preserve the integrity of our online experience.
• We build anti-piracy measures to preserve our intellectual property.
• We create and apply anti-tamper technologies to protect sensitive areas of code.
• We support all Rockstar titles including Grand Theft Auto V and Red Dead Redemption.
• We work closely with many cross-functional teams to enhance the security of our games.

RESPONSIBILITIES

• Create and innovate solutions to better secure our products from known vulnerabilities.
• Research and implement various forms of anti-tamper technologies and anti-cheat technologies.
• Debug exceptions to resolve issues related to obfuscation transformations and anti-tamper mechanisms.
• Performance profile protected and unprotected code to meet expected performance requirements.
• Follow software SDLC to integrate into the game team’s operations.
• Test cross-platform software solutions to ensure quality.

REQUIREMENTS

• 7+ years of experience working in a software/security development team using C++.
• Experience with security and/or game development.
• Excellent problem-solving skills with an emphasis on debugging C++ code.
• Analytical skills geared towards the measurement of system performance and memory use, plus the communication skills needed to generate solutions.
• Independently able to take objectives from ideation to execution.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Strong understanding of reverse engineering concepts and methodologies.
• Strong understanding of game protection technologies.
• Experience with disassemblers and decompilers: IDA Pro.
• Experience with core cryptography concepts.
• Experience with crash dumps and x64.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                                   

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is looking for a seasoned Senior Software Engineer (C++) to join our development team. Our Core Security team is looking for a security focused engineer to help drive our various software security initiatives. The successful candidate will be committed to keeping our games and services fun for our players through defense against cheaters, hackers, exploiters, and all troublemakers. 

This is a full-time, permanent and in-office position based in Rockstar’s state-of-the-art game development studio in Edinburgh, Scotland. 

WHAT WE DO

• The Core Security team is responsible for protecting our players, employees, and business.
• We develop anti-cheat to preserve the integrity of our online experience.
• We build anti-piracy measures to preserve our intellectual property.
• We create and apply anti-tamper technologies to protect sensitive areas of code.
• We support all Rockstar titles including Grand Theft Auto V and Red Dead Redemption.
• We work closely with many cross-functional teams to enhance the security of our games.

RESPONSIBILITIES

• Create and innovate solutions to better secure our products from known vulnerabilities.
• Research and implement various forms of anti-tamper technologies and anti-cheat technologies.
• Debug exceptions to resolve issues related to obfuscation transformations and anti-tamper mechanisms.
• Performance profile protected and unprotected code to meet expected performance requirements.
• Follow software SDLC to integrate into the game team’s operations.
• Test cross-platform software solutions to ensure quality.

REQUIREMENTS

• 7+ years of experience working in a software/security development team using C++.
• Experience with security and/or game development.
• Excellent problem-solving skills with an emphasis on debugging C++ code.
• Analytical skills geared towards the measurement of system performance and memory use, plus the communication skills needed to generate solutions.
• Independently able to take objectives from ideation to execution.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Strong understanding of reverse engineering concepts and methodologies.
• Strong understanding of game protection technologies.
• Experience with disassemblers and decompilers: IDA Pro.
• Experience with core cryptography concepts.
• Experience with crash dumps and x64.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                                   

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

About the role

Vannevar is building the future of nation security enablement with agentic AI. Our platform is responsible for tightening the loop from observation to action - providing the warfighter with cutting-edge analysis tools to make better decisions, faster.

We are searching for an experienced product engineer who has previously helped shape agentic AI technology. You will collaborate closely with mission owners in the defense and national security space to build 1) lasting products for which users are enabled by AI and 2) the workflows within these systems to drive mission outcomes.

What you’ll do

• Design, build, and ship a cutting-edge agent-powered mission console using TypeScript, React, Tailwind, Node.js, and Python.
• Partner with customers, mission owners, designers, and other engineers to understand user workflows and create 10x better solutions for their problems leveraging agents.
• Help define and shape the surface for which users are enabled by AI and agents at Vannevar.
• Implement and maintain robust agentic workflows to enable missions at scale.

What we’re looking for

• 5+ years of professional software development experience
• Expertise in TypeScript, Node.js, Postgres, Python, and AWS
• Experience building agents using any framework (LangGraph, Agno, Pydantic AI, etc.)
• Prior experience working in a user-facing product role
• Active Security clearance or ability to obtain one and desire to travel to visit users, collect feedback, and debug issues
• Prior experience developing AI-native products

Competitive Salary

The salary range for this position is $170,000 - $225,000 + equity. Within the range, individual pay is determined by experience, relevant education, and/or training.

What we offer

• Health, dental, and vision insurance
• Remote friendly with WeWork access
• Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of each year
• 401(k) match
• Lifestyle & wellbeing stipends
• Salary top-up during military reserve duty
• Fully paid parental leave
• Child and pet care reimbursement during travel

About the role

Syndio is transforming how companies understand and act on workplace equity — and as we launch new daily-use products into the market, the way we support customers needs to transform too. We're looking for a Senior Manager to define and own the vision for what customer support looks like in an agentic future: a lean, AI-native function that scales with product growth, stays close to customers, and serves as a high-signal feedback loop between users and engineering.

This is a rolling the sleeves builder role. You'll inherit a technically sharp, high-trust team and a clear mandate: architect a support function where intelligent AI agents handle the majority of interactions autonomously, human effort is reserved for what requires genuine judgment, and the gap between incoming ticket volume and resolved ticket volume is continuously closing — without proportional headcount growth.

You'll need to be as comfortable designing a multi-agent orchestration system as you are coaching a team member through a difficult customer conversation. The right person for this role sees agentic AI not as a tool to bolt onto existing processes, but as the foundation to build from.

What you'll own

Vision and strategy for agentic support. You'll define what the support function needs to look like as AI capabilities evolve — setting the architecture for how customer-facing agents, orchestration layers, and human escalation paths fit together. This isn't a roadmap you inherit; it's one you build and continuously refine as the technology and the product surface area change.

Customer-facing agent design and operations. You'll own the build-out of an AI-native support layer — designing the agents customers interact with, the knowledge bases that power them, the escalation logic that routes edge cases to humans, and the quality standards that govern all of it. You're not enabling a tool; you're designing a system.

Analytical rigor and business decision support. You'll own the metrics that matter: ticket inflow rates, autonomous resolution rates, escalation patterns, time-to-resolution, and the gap between incoming and resolved volume. You'll use this data to make and support business decisions — including when to deploy additional agent capacity, when to invest in knowledge base coverage, and where human support is still the right answer.

Team leadership and development. You'll manage, coach, and grow a team that operates at the intersection of technical investigation, customer empathy, and engineering partnership. You'll own performance development, create clarity on roles and expectations, and build a culture where people do their best work.

Agentic bug triage and resolution. You'll formalize how AI agents are used in the bug investigation and resolution workflow — defining which categories of issues are in scope for agent-assisted diagnosis, establishing human review gates, and working with engineering to make the workflow fast and safe.

Cross-functional partnership. Support sits at the center of the product feedback loop. You'll maintain strong working relationships with Engineering, Customer Success, and Product — ensuring that patterns in support data flow into sprint planning and that escalations move quickly when they need to.

Scaling for product growth. With multiple products launching in 2026, you'll own the readiness plan — ensuring agents, processes, and the team are prepared for a significant increase in ticket volume from daily-use products with larger, more diverse user bases.

What we're looking for

A vision for the agentic future of support. You have a clear, informed point of view on where AI-native support is heading — and the experience to back it up. You've thought deeply about multi-agent systems, orchestration, customer-facing agents, and where the human layer belongs in all of it.

Technical fluency. You don't need to be an engineer, but you need to be credible in technical conversations. You're comfortable reading logs, understanding how a web application works end to end, and forming a clear hypothesis about what's broken and why. Experience with observability tooling, agent orchestration platforms, or workflow systems is a strong plus.

AI and automation depth. You've built or operated AI-assisted support workflows with real production usage. You think natively about leverage points — where agents compound, where they break down, and how to design for both.

Analytical capability. You're fluent in support metrics and know how to build the instrumentation to track what matters. You can look at inflow vs. resolution trends and translate them into business recommendations with confidence.

Customer empathy and communication. You understand that every ticket represents a real person with a real problem. You set the standard for how your team and your agents communicate with customers — clearly, honestly, and with genuine care for their experience.

Operational rigor. You know how to design a workflow, measure what matters, and iterate. You've built support processes that scale — not just documented the ones that exist.

People leadership. You've managed high-performing teams and know how to develop ICs who are already excellent. You give feedback directly and create an environment where people grow.

Experience

• 8+ years in technical support, engineering operations, or a related function
• 2+ years managing people
• Demonstrated experience building or scaling support operations at a SaaS company
• Hands-on experience designing or operating AI-assisted support workflows, customer-facing agents, or multi-agent orchestration systems
• Hands-on experience with Zendesk or a comparable enterprise support platform at an operational or administrative level
• Experience working closely with engineering teams and contributing to cross-functional processes like sprint planning or incident review

What success looks like in year one

By the end of your first year, you've articulated and begun executing a clear multi-year vision for AI-native support. Customer-facing agents are handling the majority of L1 tickets autonomously. Agent-assisted workflows have materially shortened bug resolution cycles. You're tracking inflow and resolution rates with enough precision to make confident capacity recommendations. And the team is operating as a strategic function — not a help desk — with ticket volume growing and manual effort not growing with it.

• 💰 Competitive Compensation. For this role our base salary is targeted at $158-185k USD.
• Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-First within the following approved East Coast states: CT, DC, FL, GA, MD, MA, NJ, NY, OH, PA, RI, SC, VT, and VA #LI-Remote 

Interview overview

Below you'll find an outline of the interview plan for our Senior Manager, Applications Support position. Please note that while this is what we expect the process to look like, we may ask you for supplemental information or require an additional step before making a final decision.

1. Recruiter Screen - 25min
2. Hiring Manager - 30min
3. Loop - Three 30-45 min video calls with departmental peers and cross-functional team members - 2hrs max
4. Final Interview - Engineering Leader - 30min

About the role

Why this role is exciting

Why you'll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-first in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote

Role Progression:

In the 1st Month:

• Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
• Master the new Integration Platform and current data loading artifacts.
• Shadow 2-3 strategic client implementations and identify potential automation opportunities.
• Contribute to a pilot migration of an existing client’s data into the new platform.

At 3 Months:

• Independently lead technical implementations for new clients.
• Execute data migrations for a segment of the existing client base into the new Integration platform.
• Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
• Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.

By 6 Months:

• Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
• Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
• Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.

The interview overview

Below you'll find an outline of the interview plan for our Forward Deployed Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min phone call with a member of our Talent Team.
2. 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
3. 75 min hands-on technical interview with a Senior Engineer.
4. 2-3 video interviews with key members of the Customer Success and Product teams.
5. 30 min interview with the SVP of Engineering - Data Strategy.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services. 

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges includes OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. 

About the role:

As a Forward Deployed Engineer, VoIP your mission is to make Parloa work flawlessly in the real world of enterprise telephony. You are the deep VoIP/SIP expert embedded in our most critical customer integrations—owning the end-to-end technical path from “a phone rings” to “the bot answers,” across carriers, SIP trunks, SBCs, networks, and enterprise constraints.

You’ll operate where product, infrastructure, and customer reality meet: diagnosing tricky call flows, designing robust connectivity patterns, unblocking go-lives under pressure, and shaping how Parloa integrates with telephony ecosystems—both for customers and partners.

Areas of ownership:

• Own telephony integration projects: Lead the technical execution of VoIP/SIP connectivity for enterprise customers and partners (PoCs through production).
• Design reliable call paths: Architect integrations via SIP trunking providers, direct trunks, or enterprise telephony infrastructure—balancing latency, reliability, and security constraints.
• Debug complex issues end-to-end: Troubleshoot signaling and media problems (e.g., routing, codecs, DTMF, call transfers, failover), using logs and network traces to find root cause fast.
• Navigate enterprise constraints: Propose connectivity options when customers have strict firewall policies, limited exposed ports, or regulatory/security requirements.
• Partner deeply with customer engineers: Work directly with telecom, network, and platform teams to align architectures, test plans, and operational procedures.
• Support partner enablement: Help telephony partners integrate with Parloa, resolve escalations, and improve repeatability through patterns, tooling, and documentation.
• Engineer pragmatic solutions: Build small utilities, scripts, or lightweight services when needed to validate assumptions, automate diagnostics, or close integration gaps.
• Raise the bar on reliability: Define best practices for NAT traversal, resiliency, monitoring, and incident response in telephony-connected deployments.
• Shape the product: Translate field learnings into clear feedback for core engineering—turning recurring integration pain into platform improvements.

Who you are:

• 5+ years of professional experience in VoIP/telephony engineering, SIP integrations, telecom consulting, or adjacent roles with direct customer impact.
• Strong hands-on expertise with SIP-based integrations, call routing concepts, and real-world troubleshooting across networks and enterprise environments.
• Solid understanding of signaling vs. media flows, common failure modes, and diagnostic approaches (logs, SIP traces, packet captures).
• Practical experience working with SIP trunking providers, SBCs, enterprise PBX/contact center setups, or similar telecom infrastructure.
• Comfort operating in ambiguous, high-responsibility situations—able to own issues end-to-end and drive them to resolution with multiple stakeholders.
• Ability to communicate clearly with both engineers and non-telephony stakeholders, turning complex call-flow topics into actionable decisions.
• Builder mindset: you don’t just explain problems—you design the fix, validate it, and make it repeatable.
• Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong plus: Cloud-native experience (especially Azure), Kubernetes environments, and/or building integration tooling in a scripting or backend language.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary Ranges include OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. 

About the role:

As Head of Partner Success at Parloa, you own the quality, scalability, and operational success of partner-delivered implementations. Your mission is to build and lead a high-performing Partner Success organization that ensures every partner-led deployment meets the same quality, reliability, and customer impact standards as Parloa-led projects.

You define how Parloa scales delivery through partners without compromising technical excellence or customer outcomes. This means establishing the operating model for partner implementation oversight, building strong enablement and governance frameworks, and ensuring that partners consistently deliver high-quality AI solutions on the Parloa platform.

Partner Success is the bridge between Partnerships, Professional Services, and Product. As Head of Partner Success, you ensure that partner scale strengthens the Parloa ecosystem.

Areas of ownership:

• Build the Global Partner Success Operating Model: Design and scale the Partner Success organization across regions, including TPM, Agent Architect, and Forward Deployed Engineer roles embedded within the partnership motion. Establish clear governance models, engagement rules, and escalation frameworks that ensure partner-delivered implementations meet Parloa’s quality bar. 
• Ensure Quality and Predictability in Partner-Led Delivery: Own delivery health across all partner-executed projects. Implement quality gates, readiness assessments, and technical architecture reviews to ensure partners deploy the Parloa platform correctly and consistently. Ensure go-live readiness and production stability across all partner implementations.
• Build and Develop a High-Performance Organization: Hire, coach, and develop the Partner Success team across regions. Build leadership capacity and clear growth paths for TPMs, Agent Architects, and FDEs. Establish strong accountability frameworks while maintaining a culture focused on technical excellence, collaboration, and partner enablement.
• Drive Partner Enablement and Capability Development: Work with cross-functional teams to create structured enablement programs that accelerate partner readiness and technical capability. Ensure programs emphasize best practices for agent design, platform integrations, and project delivery methodologies. Track partner capability maturity and ensure partners are prepared to lead implementations independently over time. 
• Ensure Technical and Implementation Standard Compliance for Partners:  Ensure consistency across partner-built solutions and reduce implementation variability across the ecosystem.
• Strengthen Partner and Executive Relationships: Serve as the executive technical counterpart to strategic implementation partners. Build trust with partner leadership and ensure strong alignment between Parloa delivery standards and partner implementation practices.
• Create Scalable Feedback Loops Between Partners and Product: Translate field insights from partner implementations into structured product feedback. Identify recurring implementation patterns and advocate for product improvements that reduce complexity and increase partner self-sufficiency.
• Own Partner Performance Metrics and Ecosystem Health: Define and track partner performance metrics such as implementation quality, delivery timelines, QA pass rates, and partner NPS. Establish reporting cadences with executive leadership and drive continuous improvement across the partner ecosystem. 

       Our Technology Stack: TypeScript, Node.js, Python, Microsoft Azure, Kubernetes, Terraform, ArgoCD, MongoDB

Who you are:

• Experience level: 10 to 15+ years in enterprise SaaS, AI platforms, professional services, or partner delivery roles with meaningful production responsibility.
• People leadership: 5+ years leading technical delivery, professional services, or partner success organizations, ideally leaders-of-leaders. Proven experience building high-performing teams and scaling operational capacity across regions.
• Organizational leadership: Experience designing and scaling partner delivery models or ecosystem support functions. Ability to build processes, frameworks, and governance structures that enable partners to deliver at enterprise scale.
• Partner Ecosystem Experience: Deep experience working with system integrators, implementation partners, or consulting firms. Strong understanding of partner enablement, certification programs, and partner performance management.
• Enterprise Delivery Track Record: Demonstrated success overseeing complex enterprise deployments involving multiple stakeholders and delivery teams. Experience managing both direct and partner-led implementation programs.
• Technical Breadth and Platform Understanding: Strong understanding of enterprise software architectures, integrations, and cloud-based platforms. Ability to engage credibly with technical teams on AI systems, integrations, and enterprise platform deployments.
• Strategic product thinking: Ability to identify patterns across partner implementations and translate them into product improvements or platform capabilities. Strong intuition for what should be standardized versus left flexible for partners.
• Operational excellence: Strong planning, prioritization, and risk management capabilities. Ability to build scalable processes that maintain quality without introducing unnecessary operational overhead.
• Executive presence: Confident communicator with the ability to engage partner executives, technical leaders, and internal stakeholders. Comfortable representing Parloa in executive discussions around delivery, partner performance, and ecosystem strategy.
• Strong plus: AI / LLM-based systems and conversational AI platforms, Telephony and contact center infrastructure (PSTN, SIP), Partner-driven enterprise software ecosystems, Scaling global system integrator relationships

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview(s) → Bar Raiser

Comp Range Includes OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.