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

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 hiring a Technical Talent Partner to own hiring for customer-facing technical roles — people who sit at the intersection of product, engineering, and customers.

What You’ll Own

• Own end-to-end recruiting for technical GTM roles (TAM, Solutions Engineer, Solutions Architect, Customer Success Engineering)
• Partner with Sales, Customer Success, and Product leaders on hiring strategy and planning
• Define and calibrate hiring criteria and interview processes
• Build targeted pipelines from SaaS, cybersecurity, and cloud companies
• Conduct high-signal screening, assessing both technical depth and customer-facing ability
• Drive closing and candidate experience in competitive markets
• Act as a strategic partner to hiring managers and leadership

What We’re Looking For

• 6+ years of full-cycle recruiting experience, including technical roles
• Strong experience hiring customer-facing technical roles (TAM / SE / SA)
• Ability to assess technical fundamentals (architecture, APIs, integrations) at a practical level
• Strong understanding of customer-facing dynamics (communication, ownership, problem-solving)
• Experience in SaaS / cybersecurity / cloud environments - strong advantage
• Strong sourcing and outbound recruiting capabilities
• Ability to work in a high-growth, fast-paced startup environment

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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

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

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

About the Role

Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As a Business Value Manager, you will have a direct impact on Verkada’s Enterprise sales motion, bridging the gap between complex technologies and tangible financial and operational outcomes.

Reporting to the Chief of Staff to the CRO, you will partner with Enterprise Sales Leaders to architect a value selling framework to scale to the Enterprise Sales organization, building the infrastructure to reference key customer outcomes and win stories, as well as partnering with Product Marketing and Enablement to develop assets and enablement programs. In addition to pioneering the Business Value Selling program at Verkada, you will serve as the Strategic Deal Architect behind our most complex, multi-million-dollar deals, transforming technical capabilities into compelling financial and operational narratives. In this high-visibility role, you will move beyond feature-selling, working at the intersection of finance, product, and sales to quantify the operational and financial impact of our platform, directly influencing the investment decisions of C-suite executives at the world’s leading enterprises.

What You'll Do

• Program Development: Partner with Product Marketing to create and refine standardized value frameworks, templates, and "talk tracks" to scale business value services across the global enterprise sales organization.
• Value Realization Tracking and Database: Monitor and analyze data from current customers post-implementation to validate that the promised value was delivered, partnering with Product Marketing to maintain a database of relevant data, and creating "real-world" success stories for future sales.
• Sales Enablement: Coach sales teams on value-selling methodologies, including referencing of relevant customer data,  and provide the tooling/content for self-service business justifications.
• Value Discovery: Partner with account executives to lead discovery sessions with CxOs to identify pain points and desired outcomes.
• Financial Modeling: Develop ROI (Return on Investment) and TCO (Total Cost of Ownership) value models to quantify the business impact of solutions.
• Business Case Development: Draft data-backed business cases for strategic opportunities, ensuring every claim is anchored in measurable customer impact.
• Executive Storytelling: Craft and deliver executive-level business cases that align technical solutions with broad corporate objectives.
• Commercial Objection Handling: partnering with Sales to dismantle financial objections in real-time.

What You Bring

• Strategic Consulting: 5–9+ years of experience in management consulting, business transformation, or enterprise software sales.
• Financial Intelligence: Proficiency in building complex financial models and the ability to navigate financial documents like 10-Ks and earnings transcripts.
• Analytical Power: Proficiency in data visualization and manipulation tools such as Looker and advanced Google Sheets.
• Executive Presence: Exceptional presentation and communication skills, with a proven ability to influence C-suite decision-makers.
• Technical & Market Acumen: Deep understanding of SaaS sales motions, industry trends (e.g., AI/ML acceleration), and how IT functions like operations and security drive value.

Analytical Rigor: Ability to derive meaningful insights from large, complex data sets to build compelling business cases.

US 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
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Senior Data Infrastructure Engineer

IEX (IEX Group, Inc.) is an exchange operator and technology company dedicated to innovating for performance in capital markets. Founded in 2012, IEX launched a new kind of securities exchange in 2016 that combines a transparent business model and unique architecture designed to protect investors. Today, IEX applies its proprietary technology and experience to drive performance across asset classes, serve investors, and advocate for transparent and competitive markets.

At IEX, we are solving complex data problems with best-in-class technology to help achieve our mission of creating fairer financial markets. We are looking for a strong Senior KDB Developer to join our team and help us build new products that will better serve our core customers. This person will have the opportunity to play a key role in developing new platforms for IEX and solve interesting financial data problems.

If you are up for working in a fast-paced environment and a highly collaborative FinTech team elevating the playing field—join us!

About You:

• Detail-oriented
• Analytical mindset with excellent problem-solving abilities
• Excellent communication skills
• Collaborative team player who thrives in a dynamic environment
• Eager to contribute to multiple initiatives in a fast-paced environment

What You’ll Do:

• Design and develop scalable databases and data platforms
• Build GUI tools to help visualize data
• Architect and implement complex data solutions from the ground up
• Maintain and support critical data services, including participating in support rotations
• Perform data maintenance, backup and security checks
• Optimize data access
• Integrate and manage third-party data sources
• Ensure data security in accordance with internal policies and procedures

Your Background:

• 7-10 years of experience in data engineering
• 7+ years of KDB+/Q
• Expertise in Python
• Advanced Linux user
• Preferred:
  • Knowledge of databases, development, and internet software
  • Knowledge of Java/C++
  • Understanding of financial products and equities
• Good to have:
  • Experience with KX Dashboards
  • Knowledge of working with cloud platforms (AWS, Google and/or Microsoft)

Our job titles may span more than one career level. The starting annual base pay is between $200,000 and $250,000 for this NY-based position. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The annual base pay range is subject to change and may be modified in the future. This role is eligible for bonus and equity.

Here at IEX, we are dedicated to an inclusive workplace and culture. We are an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, genetic information or any other characteristic protected by applicable federal, state or local laws. This policy not only complies with all applicable laws and protects workers' rights but is vital to IEX’s overall mission and values.

NYC Applicants Notice Regarding Use of Automated Employment Decision

About the Role

iCapital is seeking an experienced Pega Systems Architect to lead the design, governance, and technical direction of our Pega platform. This role will be responsible for ensuring the platform is scalable, secure, and aligned with enterprise architecture standards while supporting the delivery of workflow and case management solutions. The ideal candidate will establish development standards, guide architectural decisions, and mentor the technical team. This position plays a critical role in ensuring the long-term stability and success of the organization’s Pega platform.

Responsibilities

• Define and maintain the overall architecture and technical standards for the Pega platform.
• Establish and enforce Pega guardrails, development standards, and governance practices.
• Lead technical design and architecture reviews for new workflows, case types, and platform enhancements.
• Design scalable case management models, decision rules, and workflow orchestration.
• Provide guidance to developers on rule design, reuse, performance optimization, and best practices.
• Oversee integration design with internal and external systems (APIs, services, middleware).
• Troubleshoot and resolve complex platform or performance issues.
• Partner with DevOps and Infrastructure teams on environment management, deployments, and upgrades.
• Support platform roadmap planning, including version upgrades and new capability adoption.
• Mentor and provide technical leadership to Pega developers and engineering teams.
• Collaborate with business stakeholders and product owners to translate business processes into scalable Pega solutions and lead project management around implementation and creation of workflows.
• Participate in Agile ceremonies, backlog refinement, and release planning.

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, or a related field (or equivalent experience)
• 5+ years of enterprise application development experience
• 3-5+ years of hands-on experience with the Pega platform
• Strong experience designing Pega case management applications and workflows
• Deep understanding of Pega rules engine, decision tables, data pages, and rule reuse strategies
• Experience building and managing system integrations using REST, SOAP, and APIs
• Familiar with application performance tuning and troubleshooting in enterprise systems
• Experience working in Agile software development environments
• Strong architecture, problem-solving, and technical leadership skills
• Pega Certified Senior System Architect (CSSA) or Lead System Architect (CLSA) certification is preferred
• Experience with cloud deployments (AWS, Azure, or Pega Cloud) and CI/CD practices is a plus

Benefits

The base salary range for this role is $150,000 to $170,000.  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.

We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

The role:

As a Staff Full Stack Engineer, you will serve as a cornerstone of technical leadership, driving the ideation, architectural design, and optimization of enterprise-scale, full-stack ecosystems. We are seeking a visionary with 8+ years of engineering depth and a proven track record of delivering complex, end-to-end solutions. In this role, you will bridge the gap between high-level business strategy and technical execution, championing engineering excellence while serving as a pivotal mentor and subject matter expert to the broader engineering organization.

What you’ll do: 

Engineering & AI Architecture

• Architectural Leadership: Architect and deploy sophisticated, end-to-end applications, leveraging deep expertise in interactive interfaces and complex data integration—including the orchestration of AI-native database functions like Snowflake Cortex.
• Agentic AI Integration: Partner with AI specialists to architect multi-agentic systems, implementing autonomous, stateful workflows designed to solve high-consequence, real-world business challenges.
• Data Orchestration: Design and automate high-performance real-time and batch data pipelines using enterprise orchestration tools such as Apache Airflow, ensuring seamless data liquidity across the stack.

DevOps & Operational Excellence

• Infrastructure as Code (IaC): Standardize deployment lifecycles and cloud infrastructure by implementing GitOps methodologies via ArgoCD, GitLab CI/CD, and AWS best practices.
• Workflow Optimization: Deploy and tune complex business process engines within enterprise frameworks, ensuring maximum reliability, scalability, and observability.

Product Ownership & Strategy

• Technical Decomposition: Lead the translation of ambiguous product requirements into rigorous technical specifications, overseeing the entire execution lifecycle from initial ideation to post-deployment optimization.
• Strategic Collaboration: Act as a technical bridge between Product, Design, and Engineering to deliver member-centric solutions while fostering a culture of continuous learning and growth.

Governance & Innovation

• Technical Stewardship: Drive engineering rigor through comprehensive code and design reviews, serving as a final decision-maker for critical architectural choices and software standards.
• Innovation Advocacy: Maintain a cutting-edge pulse on GenAI, LLM infrastructure, and emerging tooling; proactively translating industry trends into actionable product roadmaps and enhanced technical capabilities.

What you’ll need:

Education & Experience

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a strictly related technical discipline.
• Professional Tenure: 8+ years of robust software engineering experience, with a specialized focus on architecting full-stack AI-driven product ecosystems.
• Proven Reliability: A distinguished track record of delivering production-grade, highly available cloud services that operate reliably at enterprise scale.

Technical Mastery

• Full-Stack Command: Advanced proficiency in the React and Node.js ecosystems, with a mastery of seamless front-to-back-end integration for bespoke enterprise applications.
• Data & AI Infrastructure: Extensive hands-on experience with modern database platforms—Snowflake preferred—including the utilization of Snowflake Cortex and advanced AI/ML integration patterns.
• Pipeline Orchestration: Deep expertise in designing and managing complex real-time and scheduled data pipelines using Apache Airflow.
• DevOps & GitOps: Comprehensive experience in Infrastructure as Code (IaC) and environment management, utilizing ArgoCD and GitLab CI/CD to drive automated, resilient deployment strategies.

Leadership & Influence

• Strategic Mentorship: Committed to the growth of the engineering organization through active mentorship, fostering a high-performance culture, and elevating the technical caliber of the team.
• Operational Excellence: A relentless advocate for engineering rigor, consistently challenging the status quo to drive continuous improvement in code quality and architectural standards.
• Cross-Functional Diplomacy: Exceptional communication skills with the ability to bridge technical and non-technical domains, driving consensus and decision-making among diverse stakeholders.
• Organizational Catalyst: A proactive leader who takes end-to-end ownership, champions a culture of innovation, and builds influential partnerships across the broader engineering community.

Nice to have:

• Advanced AI & LLM Implementation: Direct experience deploying and scaling production-level Generative AI solutions, specifically LLM-powered agents or Retrieval-Augmented Generation (RAG) architectures.
• Sector Expertise: Previous background in Fintech or high-throughput consumer-facing environments, with an understanding of the unique security and regulatory nuances involved.
• Cloud Proficiency: Advanced experience with AWS ecosystem services and a broad familiarity with modern cloud-native orchestration platforms.
• Architectural Rigor: A sophisticated understanding of latency, throughput, and scalability trade-offs, with the ability to optimize complex distributed systems for performance.
• Computer Science Depth: Strong conceptual mastery of diverse programming paradigms, including Object-Oriented (OOP) and Functional Programming, to ensure clean, maintainable, and modular codebases.
• Evolving AI Ecosystems: Experience navigating and integrating emerging AI workflow orchestration tools and third-party AI research platforms.

The role:

As a Senior Full Stack Engineer, you will serve as a primary contributor in the development, deployment, and optimization of enterprise-grade, full-stack custom applications at scale. The ideal candidate brings 5+ years of robust engineering experience, a distinguished history of end-to-end delivery, and comprehensive mastery of software design—ranging from intricate user interfaces and business workflows to foundational back-end data architecture. You will collaborate with cross-functional teams to define technical strategy, advocate for engineering excellence, and deliver high-impact solutions directly to our member community.

What you’ll do: 

• Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex for advanced AI workloads).
• Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
• Collaborate with the AI engineers on the team to implement multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
• Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.
• Deploy, optimize, and monitor complex business process workflows on enterprise frameworks 
• Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
• Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
• Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
• Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.

What you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
• Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.
• Advanced proficiency in React, Node.js, and front-end–to–back-end custom app development.
• Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
• Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
• Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
• Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
• Willingness to take ownership, and champion learning and innovation within the organization.

Nice to have:

• Exposure to other cloud-native or AI workflow orchestration platforms.
• Experience with AWS
• Prior fintech or high-throughput consumer product experience.
• Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.

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 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 Senior/Lead Forward Deployed Engineer (SFDE) at Parloa, you’ll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world. Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale.

FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. Your work is hands-on and code-first - you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes.

This is not about maintenance. This is about engineering what makes it work in production, under real-world enterprise constraints, at speed and scale

Areas of ownership:

• Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments
• Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
• Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements
• Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
• Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes
• Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers
• Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility
• Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success.
• Shape the product: Act as the feedback loop between the field and our core engineering teams - turning deployment learnings into platform evolution
• Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value

Our Technology Stack: Python,TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP

Who you are:

• 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact
• Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments
• Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems
• Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
• A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world
• Degree in Computer Science, Engineering, or related technical field
• Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)

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.

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 our Deployment Strategist, you will drive AI transformation at Global 2000 enterprises as the “Field CPO” for Parloa’s most strategic customers. You will own the bridge between customer outcomes and product reality, translating business needs into deployable product capabilities for customers like Booking.com, Allianz, Decathlon, and TUI.

Areas of Ownership:

• Land big clients (Global 2000 with complex, off-roadmap needs) and ensure their AI transformation succeeds.
• Manage stakeholders across business and tech (CEO, COO, CIO, CTO, VP Support), owning deployment from value thesis through production to expansion.
• Translate customer needs into product capabilities (not one-off customizations) that become reusable platform features.
• Build prototypes, make product changes, and create business plans hands-on - execution over PowerPoints.
• Represent customers to Parloa Product and represent Parloa Product to customers, bridging both worlds.
• Navigate ambiguity in agentic AI workflows, ROI models, and change management where no playbook exists yet.
• Own hard conversations: tradeoffs, “no,” re-scoping, and timeline realism with strategic accounts.
• Influence without authority across Product, Engineering, Sales, and Customer Success to drive outcomes.
• Feed validated learnings to product roadmap, turning customer work into platform capabilities that compound.

Who you are:

• 7-12 years of experience in enterprise software (solution architecture, product, or consulting) with a proven track record of customer-facing delivery.
• “Field CPO” mentality: ability to translate customer outcomes into product reality and vice versa.
• Business + tech stakeholder leadership: presented to C-suite across business and tech functions, demonstrated value, and ensured solutions make business sense.
• Product thinking: built client-specific roadmaps aligned with platform strategy.
• Architectural credibility: scoped off-platform features, assessed feasibility, and ensured supportability.
• Influence without authority: led cross-functional teams (Product, Eng, Sales, CS) without direct reports.
• Adaptability: comfortable being uncomfortable, willing to learn, operates in ambiguity.
• Hands-on execution: gets hands dirty - built prototypes, made product changes directly, created business plans. Not just an advisor.

Nice-to-have:

• Industry diversity: experience in travel, fintech, insurance, retail, healthcare, telecom, or enterprise software - we’re building a team with a broad industry perspective.
• Industry-changing companies: worked at companies that transformed their industry (Booking.com, Decathlon, N26, Deel, Stripe, Uber, Airbnb).
• Hypergrowth experience: thrived in fast-scaling environments (e.g., 25 to 1500 people).
• Background as Palantir Deployment Strategist, AWS/GCP Solutions Architect, or product roles at hypergrowth tech.
• Tech stack: architectural understanding of Python, TypeScript, Terraform, K8s, Azure/AWS.
• AI/ML: LLM pipelines, agentic AI deployment, prompt engineering.
• Learning loop: created reusable patterns from custom work, fed learnings to product.

Your Recruiting Process at Parloa:

TA Screen → Hiring Manager Call → Case Study (take-home) → Case Study Presentation → Bar Raiser Interview 

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 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.

We are seeking a Senior Manager of GTM Operations to lead AI and horizontal platform programs within the Core Operations team. This role will shape how our global GTM organization becomes more productive, scalable, and AI-enabled—by defining high-impact use cases, driving cross-functional programs, and ensuring successful adoption of new capabilities.

Core Operations sits at the intersection of GTM strategy, systems, and execution. This leader will act as both the orchestrator of GTM AI programs and a GTM process engineer—rethinking and redesigning how work gets done across the customer lifecycle, then applying AI and platforms to streamline, standardize, and scale those processes.

What You’ll Do

Shape GTM AI Strategy & Drive Programs

• Define the GTM AI and platforms strategy for Core Operations, focused on improving productivity and enabling revenue and customer outcomes
• Translate business needs into prioritized AI use cases and requirements, partnering with IT to inform the broader technology roadmap
• Own and drive GTM AI programs end-to-end—from problem definition and business case through rollout and impact measurement
• Lead change management for new AI capabilities, ensuring strong adoption across Sales, Customer Success, Partners, and other GTM teams
• Establish and oversee data governance processes and programs that enable scalable, trusted AI solutions
• Run Field Advisory Board on GTM use of AI & horizontal platforms. Serve as the primary bridge between GTM leadership and IT, ensuring alignment on priorities and outcomes

Act as a GTM Process Engineer

• Analyze and redesign end-to-end GTM processes to reduce friction, eliminate manual work, and improve consistency
• Identify where AI and automation can fundamentally improve workflows—not just layer on top of existing inefficiencies
• Standardize global processes while allowing for necessary regional or segment variation
• Ensure process design, systems, and data models are tightly aligned to enable scalability and high-quality execution

Lead AI Tool Adoption & Internal Productivity

• Rapidly deploy and scale AI tools (e.g., Glean agents, LLM platforms such as Claude, and emerging technologies) to solve high-impact operational challenges
• Drive AI-powered improvements across GTM Ops workflows (e.g., territory planning, forecasting support, ticket deflection, reporting automation)
• Continuously surface opportunities to improve both internal Ops productivity and frontline GTM effectiveness

Establish GTM AI Intake, Evaluation & Scaling

• Build and run a centralized intake and prioritization model for AI use cases across GTM
• Develop frameworks to assess impact, feasibility, risk, and scalability
• Define clear execution paths (Ops-led vs. IT-partnered) and ensure successful pilots are scaled into durable solutions

Drive AI Productization, Data & Governance

• Establish the foundations for reusable, enterprise-grade AI solutions, including a centralized library of agents and use cases
• Partner with Data and IT teams to ensure solutions are built on high-quality, governed data
• Align use cases to the right platforms and infrastructure (e.g., Glean, Claude, and other tools), without directly owning the tooling roadmap

Upskill the Organization

• Develop the GTM Operations team into AI-fluent operators who can identify, assess, and scale high-impact opportunities
• Build training, frameworks, and hands-on learning programs to increase AI adoption and capability
• Foster a culture of experimentation, rapid iteration, and continuous improvement

Drive GTM Productivity Through Transformation

• Design and enable AI-driven improvements to end-to-end GTM processes, reducing manual work and increasing consistency
• Lead cross-functional initiatives that connect strategy, systems, and execution
• Ensure solutions are scalable, aligned to global standards, and deliver measurable business impact

Partner Across the Business

• Act as a strategic partner to GTM leadership, IT, Data, and Enablement teams
• Ensure solutions solve the right business problems and are successfully adopted in the field
• Support ongoing optimization through feedback loops, performance tracking, and iteration

Elevate the Core Operations Function

• Improve the productivity and effectiveness of the GTM Operations organization through better prioritization, tooling, and ways of working
• Help position Core Operations as a strategic, AI-forward partner to GTM leadership

What We’re Looking For

• 7–12+ years in GTM Operations, Strategy & Operations, RevOps, or similar roles
• Proven experience redesigning business processes and leading cross-functional transformation programs
• Experience identifying, piloting, and scaling AI/automation use cases in business operations
• Strong understanding of end-to-end GTM processes (Sales, Customer Success, Partners, SAs)
• Experience partnering with IT, Data, and Engineering teams
• Ability to bring structure to ambiguity—building frameworks, roadmaps, and execution plans
• Strong stakeholder management and executive communication skills

What Sets You Apart

• Experience acting as a “process architect” or “process engineer” within GTM or operations environments
• Experience deploying AI tools (e.g., enterprise search, LLM platforms, workflow automation)
• Systems thinker who can connect process, data, and technology into cohesive solutions
• Ability to balance rapid experimentation with scalable, governed solutions

Why This Role Matters

This role will help transition our GTM organization from fragmented tools and manual processes to a cohesive, AI-enabled operating model. By rethinking how work gets done and applying AI in a structured, scalable way, this leader will unlock meaningful productivity gains and enable the business to grow more efficiently.

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: 1273425819

About the role

We’re looking for a driven individual with superb energy, passion and initiative to grow one of Mongo's top clients in the US. The Strategic Account Director role focuses on formulating and executing a sales strategy within a global account, resulting in account expansion and revenue growth.

About the Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and the opportunity to engage with cutting-edge technology, driving growth while collaborating with a talented team to deliver innovative solutions to our clients.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline 
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Navigate complex c-level relationships
• Management of an extended team (Account Development Representative, Account Executive, Solutions Architect, Customer Success Manager, Engagement Management, Professional Services Consultant) to drive the account strategy
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes
• Participate in our sales enablement training, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

What you will bring to the table

• 7+ years of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to manage global accounts and run a complex sales process 
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building technical and business champions
• Driven and competitive. Possess a strong desire to be successful

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales, Command Of the Message)
• Familiarity with databases, develops and open source technology a plus

Why join now

• MongoDB invests heavily in the development of each of our new hires & continuous career development
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture - Learn more about what it’s like to work at MongoDB

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 nearly 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: 425697

We are seeking a dynamic and visionary Director of Identity and Security Product Management to lead our Identity and Security Product Management team. This person will define and drive the execution of our product strategy for crucial functions across IAM and security, with a portfolio spanning authorization, authentication, Queryable Encryption, security hardening, and more. In this pivotal role, you will collaborate closely with stakeholders at every level of the organization, including executive leadership and cross-functional teams across multiple business units.

As the Director of Identity and Security Product Management, you will work closely with your engineering counterparts to define and deliver the roadmap for Identity and Access Management (IAM), Queryable Encryption, and Database Security. Your scope will span the MongoDB Atlas Platform, Core Database, and other critical companion services, ensuring that our IAM and security offerings continue to set the industry standard for excellence and innovation.

Your leadership in this role will be instrumental in maintaining our customers’ trust in MongoDB to deploy secure, high-performance applications with confidence, knowing their data is protected by cutting-edge security solutions.

This role can be based in Palo Alto, New York City, Seattle, or remotely in the United States.

Responsibilities

• Lead the Identity & Security Product Management team responsible for delivering Identity and Access Management, Queryable Encryption, and other customer-facing security features within the MongoDB platform 
• Drive highly regulated customer platform security and compliance requirements into MongoDB products
• Drive collaboration across Engineering, Customer Support, Marketing, Sales, and the Executive Leadership Team
• Drive a strategic narrative with customers and industry thought leaders around database security and identity
• Develop and maintain an accurate and up-to-date roadmap across your ownership areas in partnership with Engineering counterparts
• Develop strategic, operational, and tactical recommendations tailored to our products to improve  customers’ security posture and compliance positioning; regularly evangelize solutions at industry conferences, trade shows, and with key partners and accounts
• Deeply understand all aspects of MongoDB - to ensure a business outcome aligned with our broader product, customer, and company priorities
• Define security go-to-market strategies, identify key market/competitive trends and customer opportunities, and plan and manage programs to execute against those strategies by partnering with sales leadership at regional and global levels
• Drive decision-making around prioritization, solutions, functionality, and pricing

Requirements

• 7+ years of experience managing teams and demonstrating leadership skills that bring together diverse viewpoints and drive a strategic agenda forward; can-do attitude, optimism, humility, and willingness to dive into ambiguity are all pluses!
• 10+ years of Product and/or Engineering Security experience working with enterprise-focused technologies and customers
• Excellent written and verbal communication skills with the ability to present to large executive audiences and key enterprise customers globally
• Experience or Expertise in One or more of the following: CEH, GSEC, CISM, Comp TIA Security +, CISSP, CISA, SSCP, CASP+, OSCP, AWS Solution Architect Pro, AWS Security, AWS Advanced Networking Specialty or other cloud provider equivalents
• Working knowledge and/or hands-on experience with several of the following areas: Identity & Access Management, operating system & platform security, network security, database security, and an understanding of network and web-related protocols
• Strong subject matter expertise in the fields of IT security and risk management
• Experience with cloud-native products and an in-depth understanding of microservice topologies and implementations
• Demonstrated ability to think strategically and proactively address business, product, and technical challenges
• Experience transforming traditional data center security measures into industry-adopted cloud technologies
• Strong technical acumen - our Product Managers must be effective partners in decision-making with their engineering counterparts and have deep depth of knowledge.
• Comfortable speaking with authority on any of the technical aspects of the topics in their portfolio, such as Jira, Aha, AWS, GCP, AZURE, Okta, Bug Bounties, DLP, Secure Web Browsing, Data Classification

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 nearly 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: 4263346784

The Role

The Talent Discovery team is MongoDB’s strategic center of excellence for high-priority hiring. Functioning as a global "SWAT" unit, the team provides both specialized sourcing and full-lifecycle support for the company’s most critical roles. As the function’s Senior Manager, you will lead this high-impact team through its next evolution, driving a sophisticated talent engine designed to solve complex hiring challenges across every department.

In this role, you will bridge the gap between high-level business objectives and tactical excellence. Leading a global team across the U.S., EMEA, and India, you will serve as a manager of managers, empower your broader team to navigate ambiguity and pivot quickly to meet the needs of a scaling business. You will remain a strategic "player-coach" who stays close to the craft while optimizing the function. By leveraging data to elevate performance and serving as a consultant to MongoDB’s executive leadership, you will ensure we are positioned to meet our ambitious hiring goals across all areas of our global business.

In this role, you will:

• Define and execute the long-term roadmap for Talent Discovery, leveraging historical data and evolving business objectives to maximize team productivity and organizational impact
• Refine and monitor key performance indicators to sustain a high-bar for hiring success. Utilize deep analytics to inform resourcing needs, identify hiring trends, and drive data-backed decision-making
• Cultivate a high-performance, global culture that balances rigorous delivery with psychological safety, ensuring an inclusive environment where team members can learn, grow and thrive
• Serve as a consultant to the Recruiting Leadership Team (RLT), providing the delivery projections, market intelligence, and talent mapping necessary to shape MongoDB’s global hiring roadmap
• Advance our global sourcing capabilities through the adoption of cutting-edge tools and AI. You will serve as a functional expert, ensuring the team remains competitive by driving training initiatives that elevate our collective sourcing craft
• Cultivate cross-functional partnerships to synchronize Talent Discovery’s workflow with MongoDB’s global business priorities. You will be responsible for ensuring the team is strategically deployed to tackle the company’s most essential talent gaps, maximizing both impact and ROI

Our ideal candidate will have:

• Experience & Leadership: 10+ years of progressive recruiting experience, including 4+ years of direct people management in a high-growth technology environment
• Strategic Breadth: Proven success leading sourcing or full-lifecycle teams focused on technical talent; additional experience overseeing Sales or GTM (Go-To-Market) functions is highly desirable
• Change Leadership: A demonstrated ability to guide teams through organizational evolution and ambiguity, with the agility to redefine workflows and maintain high performance during periods of transition
• Data Fluency: Mastery of talent analytics; the ability to move beyond surface-level metrics to perform deep-dive analyses that justify resource allocation and drive strategic pivots
• Executive Influence: Strong executive presence and the confidence to challenge the status quo. You possess exceptional written and verbal communication skills, capable of producing high-quality deliverables for C-suite leadership
• Operational Excellence: Expert-level knowledge of top talent sourcing tools and a passion for staying at the forefront of passive outreach strategies, including leveraging AI to innovate talent pipelining workflows
• A Global Mindset: Experience leading or partnering with international teams; you possess the cultural intelligence required to lead a highly global team and navigate new employment markets
• A "Builder" Mentality: You thrive in environments where you are expected to architect the playbook rather than follow one. You have a keen eye for identifying system bottlenecks and a proven track record of optimizing processes to drive efficiency and hiring velocity

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 #1273403646

About the Role

We’re looking for a Sr Staff Engineer, Quote-to-Cash (QTC) to design, optimize, and scale our end-to-end Q2C architecture across Salesforce CPQ, Malbek CLM, and NetSuite ERP.

You will be the functional and technical bridge between Sales, Legal, Finance, and IT, owning the design of a touchless transaction flow — from quote and contract creation to billing, revenue recognition, and cash application. 

This role requires deep expertise in Salesforce CPQ, a strong understanding of NetSuite financial processes & Provisioning automations and proven experience integrating CLM systems to create an automated, compliant, and auditable QTC experience.

Key Responsibilities

Solution Architecture & Process Design

• Own the end-to-end Quote-to-Cash architecture & development spanning Salesforce CPQ, CLM, and NetSuite ERP
• Design and implement a touchless transaction processing model, minimizing manual steps across quoting, contracting, billing, and revenue recognition
• Collaborate with Product managers and business stakeholders to gather requirements and translate them into scalable system solutions that balance automation, control, and compliance
• Work closely with the engineering teams to design, implement and operationalize the Q2C Solutions

Business Systems

• Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows
• Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems
• Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity
• Partnering with Quoting & RevOps s to streamline quote generation, renewals, and amendment flows
• Improve deal velocity by streamlining approvals, leveraging A  in Salesforce CPQ
• Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows
• Define metadata, clause libraries, and approval paths that enable self-service contract generation and touchless handoffs
• Ensure contract terms and deal attributes are accurately synchronized with Salesforce CPQ for accurate billing and revenue recognition downstream
• Design and govern integrations between Salesforce and NetSuite for order management, invoicing, and revenue recognition
• Define mappings between CPQ orders and NetSuite Sales Orders to support automated billing and journal entries
• Ensure strong data integrity, reconciliation processes, and audit readiness across CRM and ERP
• Design and oversee integrations using iPass tools such as Celigo, Workato, Boomi, or MuleSoft to ensure reliable and auditable data exchange across systems
• Implement event-based or API-driven integration patterns to support near real-time synchronization
• Establish monitoring, error handling, and reconciliation frameworks for transaction-level traceability
• Maintain architectural documentation, system diagrams, and process maps
• Ensure all solution designs adhere to SOX, data governance, and security compliance standards
• Identify and drive reduction of technical debt and manual touchpoints in the QTC ecosystem

Qualifications

Required

• 10+ years of experience in QTC or Finance Systems Architecture, with a focus on Salesforce CPQ and NetSuite ERP
• Proven experience integrating CLM platforms (Ironclad, DocuSign, or Conga) with Salesforce
• Accelerate the development lifecycle by utilizing AI for daily tasks, including coding, testing, and debugging
• Proven experience in automating end to end Touchless transactions across Q2C platforms using tools like Klarity and UiPath 
• Deep understanding of Quote-to-Cash business processes — including quoting, ordering, billing, provisioning and revenue recognition 
• Strong working knowledge of Salesforce data model, CPQ configuration (pricing rules, product bundles, approval chains), and NetSuite transaction workflows
• Experience with integration middleware (Celigo, Boomi, MuleSoft, Workato) and API design
• Exceptional analytical and problem-solving skills with a hands-on approach to system design and delivery

Preferred

• Deep experience in SaaS or subscription-based business models with recurring or usage-based revenue
• Exposure to Salesforce Billing or external billing tools integrated with NetSuite
• Prior experience designing touchless QTC flows in a SOX-compliant environment

Success in this Role Looks Like

• Deals progress from quote → contract → order → invoice → revenue with minimal manual intervention
• Salesforce, CLM, and NetSuite operate as a cohesive ecosystem, with synchronized data and clear ownership boundaries
• Finance and Sales teams have trust in system-driven accuracy — reducing close timelines and manual reconciliations
• You’re recognized as the go-to solution architect for all Quote-to-Cash initiatives

Why Join Us

You’ll be at the heart of modernizing how we recognize and grow revenue — architecting a frictionless, automated, and compliant Quote-to-Cash experience across Salesforce, CLM, and NetSuite. Your work will directly impact business velocity, revenue predictability, and cross-functional alignment between Sales, Legal, and Finance.

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: 1273405378

MongoDB is looking for a transformational HR Leader who has partnered with senior leaders to drive complex, global change at scale. As the Senior Director, you will partner with the Chief Revenue Officer Leadership Team and the VP, HRBP to drive a people strategy that enables durable, profitable growth, expands our market reach, and builds a deep bench of leaders for tomorrow. The role reports to the VP, HR Business Partnering and manages a global team of two. 

At MongoDB, the HRBP team’s key focus is to be a trusted advisor to business leaders, translating business strategy into people and organizational priorities that drive performance, culture and growth. This includes shaping workforce strategy & culture, optimizing organizational design and building leadership capability. They use data and insights to influence decisions, anticipate talent needs and ensure that the business has the right structure, culture and capabilities to scale. In short, they are an extension of the business leadership team. They accomplish all of this through very close collaboration with the various other functions within the People Team - Total Rewards, Culture Talent & Development, Talent Acquisition, Regional HR, HR Operations, and People Analytics.  

Key Responsibilities

​Strategic Partnership & Business Leadership

• Serve as a trusted advisor to the CRO and global Sales leadership team, shaping people and organizational strategies that drive scalable revenue growth and global market expansion
• Leverage business acumen and data-driven insights to influence decisions on organization design, talent strategy, and leadership effectiveness
• Lead and develop a global team, fostering growth, excellence, and deep partnership capability

Talent & Performance Management

• Drive a high-performance culture through disciplined goal-setting, continuous feedback, and performance calibration across regions
• Partner with leaders to identify, develop, and retain top talent
• Use analytics and insights to diagnose trends, assess bench strength, and implement targeted development and engagement strategies that sustain performance
• Practice what you coach within your own team, providing continuous feedback, coaching and guidance to your team of BPs

Leadership Development & Succession Planning

• Lead succession planning for critical roles, ensuring depth and readiness across the global Sales organization
• Provide executive coaching and counsel to senior leaders to elevate influence, decision-making, and people leadership capability

Organizational Planning, Design & Change Leadership

• Lead global transformation and organizational design initiatives to ensure that the organizational structure enables accountability, scalability and performance
• Architect organizational change, ensuring transformations are executed thoughtfully and sustainably with clear communication and employee engagement

Culture & Employee Experience

• Act as a culture carrier and change agent, embedding company values and leadership principles into daily decisions, programs & behaviors
• Foster a culture of retention where teams feel empowered and aligned to outcomes

Profile & Experience

• 12+ years of HR experience, including 8+ years in senior HRBP roles and at least 4+ years leading a team of HRBPs
• Proven success leading people strategy and organizational transformation in a high-growth, high-performance technology company
• Strong business acumen and deep understanding of Go-To-Market operations and strategies
• Demonstrated ability to influence, build trust, and drive change across complex global organizations with very senior leaders
• Track record of leading through ambiguity and scaling organizations
• Analytical and insight-driven; uses data to guide decisions and measure impact
• Exceptional communication, judgment, and credibility at the most senior levels
• Consumption experience is a plus

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 is an equal opportunities employer.

Req ID: 1273422877

About the Team

The Atlas Data Federation and Archiving (ADFA) Customer Experience team supports the Atlas Data Federation system which empowers customers to create virtual databases that can query, transform, and analyze data across multiple sources (MongoDB clusters and cloud object storage) through a unified MongoDB query interface, without moving or copying the underlying data. The ADF system handles  hundreds of millions of queries per month, processing exabytes of customer data.

About the Role

This role is responsible for designing, building and testing high-impact projects and enhancing the scalability, performance, durability, availability and reliability of the Atlas Data Federation distributed systems. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

Our team is distributed across North America. The position is open to our “in office”, “flexible”, or fully remote working models with convenient work hours for each time-zone.

If you are passionate about data management, distributed systems, and leadership, and are excited to work on high-impact, high-growth projects, we would love to hear from you.

Role Responsibilities

• Design, architect, build, and deliver core pieces of Atlas with focus on storage systems, query engine, and customer facing components with coding in Go, Java, and React
• Approach problems from a customer-focused perspective and use data to propose high ROI improvements to our product and operations
• Collaborate with colleagues and other teams in Atlas to scope, spec and deliver new features
• Define your top priorities and focuses, communicate them, and execute against them
• Improve and maintain our codebase by applying best practices and fundamental software design principles

Candidate Profile

• 3+ years experience in software engineering, primarily focused on cloud-native backend systems
• B.Sc / M.Sc in Computer Science or similar field, or equivalent practical experience.
• Proficient in a modern compiled programming language (Go, Java, C#, C++, etc.)
• Experience implementing, and operating distributed storage systems with high availability and durability guarantees
• Enjoys working with others towards a common goal
• You're a self-starter! You're comfortable organizing your own time and propose changes backed by data
• Is curious, collaborative, empathetic, coachable and intellectually honest
• Great diagnostics skills, considering edge cases in designs with a bias for simplicity
• Has a passion for problem solving and learning new things in the domains of computer science and software engineering

Nice to haves

• Experience building and testing full-stack systems (using React or similar frameworks)
• Oncall experience and having customer first approach when considering different approaches
• Experience designing Data Lake protocols (and similar e.g. Delta Lake, Hudi,...) 
• Experience optimizing throughput in distributed storage systems
• Experience working with multiple cloud providers (AWS, GCP, Azure)

Success Measures

• In 1 month, you'll learn about the system and ask quality questions, go through the inner & outer loop
• In 3 months, you'll have contributed to a large project
• In 6 months, you’ll be leading the design and execution of your own project

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 nearly 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: 4263341903

MongoDB’s People team is on a journey to optimize our compensation programs for scale. We are looking for strategic and analytical individuals to drive innovative, competitive compensation rewards programs that attract, reward and retain our best assets, our people!

To that end, our Global Compensation team is looking for a Senior Director, Compensation Partners to play significant leadership across MongoDB’s global compensation programs, co-leading the team alongside the Director of Compensation Operations Reporting to our VP, Total Rewards,  you will serve as a trusted advisor to senior leaders and a key architect of our compensation strategy as we continue to scale globally. 

What You Will Do

Strategic Leadership

• Define and evolve global compensation strategy aligned with business goals, growth stage, and talent needs
• Advise senior leaders (Engineering, Product, Sales, and G&A) on compensation trends, market competitiveness, and equity practices
• Balance market competitiveness, pay equity, and cost efficiency in a fast-moving tech environment

Compensation Programs & Projects

• Lead the design and evolution of global compensation philosophy, ensuring alignment with company strategy, talent needs, and market competitiveness
• Own job architecture strategy, including leveling frameworks, job families, and career structures, to support consistency, clarity, and growth at scale
• Drive complex, cross-functional compensation initiatives from concept through implementation, acting as DRI and accountable owner for outcomes, timelines, and quality
• Partner with Director, Compensation Operations to design and implement scalable frameworks, tools, and processes that enable effective, consistent compensation decision-making globally
• Benchmark against peer tech companies and evolving talent markets

Business Partnership

• Lead and develop a global team of Compensation Partners supporting multiple business units
• Advise on hiring offers, promotions, retention, and organizational changes, especially for critical technical roles
• Use data and market insights to guide compensation decisions in competitive talent markets

Cross-Functional Collaboration

• Partner with Finance on compensation planning, forecasting, and equity spend
• Collaborate with HRIS and People Analytics to improve tools, modeling, and reporting
• Work with Recruiting to support competitive, scalable hiring strategies

Team Leadership

• Lead, coach, and develop a high-performing compensation team
• Build a culture of accountability, data-driven decision-making, and continuous improvement

Who You Are

• Strategic leader and trusted advisor: You shape decisions and influence outcomes at the senior leadership level, owning complex, high-impact initiatives end-to-end across strategy and execution.
• Operator with executive range: You seamlessly move between detail and big picture, diving deep when needed, connecting cross-functional dots, and driving enterprise-wide impact. You thrive in a fast-paced, evolving environment, bringing focus and prioritization while navigating shifting demands and organizational complexity.
• Driver of clarity, alignment, and execution: You cut through ambiguity, challenge assumptions, and align stakeholders to make clear decisions and deliver results across complex initiatives.
• Compensation expert with SaaS and global perspective 15+ years of experience with deep expertise in broadbased, Sales incentives plan design, and executive compensation, ideally within SaaS environments. Experienced operating internationally, with strong understanding of global market practices and regulatory considerations.
• Builder of teams and culture
• You create alignment, trust, and camaraderie across teams. You lead through influence, develop others, and foster an environment of high performance and collaboration.

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 #2273426452

Partnering with stakeholders in the Technical Services (post-sales support) team, Analytics team, and other teams around the business, this role will surface key insights to drive business decision making. This role requires someone with strong analytical and technical skills, operational experience driving efficiencies, ability to apply a data-first mindset to strategic initiatives, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.

At MongoDB, we are guided by our values: Think Big, Go Far; Make it Matter; Build Together; Embrace the Power of Difference; Be Intellectually Honest; Own What You Do. We are looking for a candidate who is passionate about understanding and communicating customer experiences and business performance through data, and will do so in alignment with our values.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

Responsibilities

• Lead in-depth analyses of Technical Services’ business processes, pricing models, and deal structures, including the mechanics of complex transactions; develop strategic insights and solutions that support business scaling and profitability goals
• Collaborate closely with FP&A to integrate financial and budget considerations into headcount planning and resource allocation for Technical Services, aligning operational initiatives with broader fiscal objectives
• Facilitate and drive strategic alignment with executive stakeholders, incorporating FP&A insights and objectives
• Partner with cross-functional leadership to assess and influence corporate initiatives' impact on Technical Services; develop readiness plans and restructuring proposals to support sustainable business growth
• Architect robust data pipelines in collaboration with Data Analysis, Engineering, and Architecture teams, ensuring the standardization, quality, and precision of data needed for sophisticated business analytics
• Consult with stakeholders to define strategic data and reporting needs; design advanced dashboards that enable stakeholders to self-serve critical insights for planning performance evaluations and initiative assessments
• Strengthening team capabilities in FP&A analysis, deal mechanics evaluation, and cross-functional collaboration

Skills & Attributes

• 10+ years of hands-on analytics and business reporting experience (or 5+ years of experience with MBA or equivalent degree), ideally within or partnering with customer-facing organizations
• Skilled in cleaning, transforming, and integrating data through programmatic methods like Python and SQL, with a demonstrated ability to support advanced FP&A models and planning tools
• Extensive understanding of complex sales processes, SaaS subscriptions, and deal mechanics with proven skills in employing data analysis techniques to inform high-level executive decisions
• Proven experience working with senior management and effectively presenting to executive leadership, particularly concerning FP&A strategies, headcount forecasting, and strategic deal structuring
• Ability to extract and communicate actionable insights from diverse data sets, driving recommendations and strategic planning discussions
• Demonstrated interest and experience in scoping and building data sets and data products leveraging artificial intelligence technologies / models"
• Expert in creating dynamic, user-centric dashboards and analytical tools in Tableau that facilitate strategic decision-making and resource planning
• Exceptional communication skills, capable of translating intricate technical concepts into clear, actionable strategies for varied business audiences
• Advanced ability to prioritize strategic initiatives, manage conflicting demands in high-stakes environments, and meet critical deadlines
• Committed to fostering collaborative, innovative, and inclusive environments, actively driving professional growth and acumen within the team
• Extensive experience with Technical Support businesses/products and familiarity with product management processes is a major advantage

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 nearly 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: 1263132460

We are seeking a high-energy, innovative IBM Principal Specialist to drive new business for MongoDB, the world’s most popular and fastest-growing modern database platform. This role is a unique opportunity to build, execute, and scale a world-class IBM Co-Sell Partnership that delivers meaningful value to IBM, our joint customers, and MongoDB.

As the IBM Co-Sell Principal (Americas), you will own the IBM OEM and co-sell motion across the Americas (with a primary focus on North America). You will lead joint go-to-market initiatives, partner closely with IBM & MongoDB sellers, and play a critical role in driving MongoDB revenue growth, accelerating pipeline, and addressing skills, product and solution gaps through strategic partnership alignment.

The ideal candidate brings a proven track record of executive-level relationship building, hands-on sales execution, cross-organizational collaboration and success navigating large, complex enterprise deals. You will serve as MongoDB’s internal IBM expert for the Americas co-sell motion and be a trusted partner to IBM & MongoDB field sellers, working cross-functionally in a fast-paced, high-growth environment.

Responsibilities:

• Work with IBM’s Americas partner ecosystems leads and regional sales leadership to continuously improve and optimize the account level engagement and go-to-market outcomes
• Conduct industry and regional analysis to inform and optimize IBM co-sell strategy across the Americas, with emphasis on North America
• Partner Sales Execution
  • Collaborate with IBM’s account teams and MongoDB direct sellers on large, complex joint opportunities
  • Support and close business to meet or exceed monthly, quarterly, and annual bookings targets
• Partner Sales Enablement
  • Drive joint sales enablement with IBM to ensure field alignment, clarity of value proposition, and effective engagement models
  • Develop and execute GTM initiatives that generate joint customer demand
  • Oversee lead tracking, deal registration, pipeline development, and joint reporting
•  Manage interlocks with Americas MongoDB’s Sales team, Partner Sales and Solution Architect teams, Pre-sales, Post-sales, Deal Strategy, Legal, Revenue, Ops, Product Engineering, and Marketing
• Build strong and effective relationships with both internal stakeholders and partner executives, as well as triangulation with other partnerships
• Partner Management & Success
  • Build and manage all aspects of the IBM partnership, including KPIs, QBRs, executive relationships, and operating cadence
  • Ensure MongoDB is top-of-mind and recommended within IBM customer opportunities
  • Drive mutual accountability and execution against shared success metrics
• Participate in MongoDB’s sales enablement programs, including Sales Bootcamp, advanced sales training, and leadership development initiatives 

Requirements:

• Energetic, resourceful, entrepreneurial, and tenacious team player
• 5+ years of quota-carrying experience generating pipeline and closing deals through or with IBM
• Experience working with or at IBM, including OEM and reseller motions
• Experience selling into BFSI accounts (Banking, Financial Services, and Insurance)
• Understanding & knowledge of IBM’s Data & AI portfolio, IBM Cloud, IBM Z & LinuxOne (IFLs), and the watsonx ecosystem
• Demonstrated ability to build executive-level relationships and influence C-suite stakeholders
• Technically knowledgeable in enterprise software and cloud computing space with familiarity with databases, DevOps, and open-source technology
• Consistent record of exceeding goals in highly competitive environments
• Strong communication skills with the ability to clearly articulate business value in complex enterprise sales
• Acute attention to detail, particularly in licensing models and complex contract negotiations
• Proven ability to structure and negotiate proposals and develop joint business plans
• Experience developing partner value propositions and executing GTM programs, including joint enablement, demand generation, deal registration, and reporting
• Formal sales methodology training (e.g., MEDDIC, SPIN, Challenger)
• Strong ability to build champions and manage complex, multi-stakeholder sales cycles
• Possess aptitude to learn quickly, problem solve, and establish credibility
• Exhibit a high EQ and self-awareness to navigate various regional and cultural differences toward a common goal
• Ability to operate autonomously in a fast-paced environment and gain alignment across broad stakeholder groups
• Passion for growing a career in the largest market in software and developing deep expertise in MongoDB’s product portfolio

Why Join MongoDB

MongoDB invests heavily in the development of each of our new hires & continuous career development.

• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)

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: 426236

The Role

The Talent Discovery team is MongoDB’s strategic center of excellence for high-priority hiring. Functioning as a global "SWAT" unit, the team provides both specialized sourcing and full-lifecycle support for the company’s most critical roles. As the function’s Senior Manager, you will lead this high-impact team through its next evolution, driving a sophisticated talent engine designed to solve complex hiring challenges across every department.

In this role, you will bridge the gap between high-level business objectives and tactical excellence. Leading a global team across the U.S., EMEA, and India, you will serve as a manager of managers, empower your broader team to navigate ambiguity and pivot quickly to meet the needs of a scaling business. You will remain a strategic "player-coach" who stays close to the craft while optimizing the function. By leveraging data to elevate performance and serving as a consultant to MongoDB’s executive leadership, you will ensure we are positioned to meet our ambitious hiring goals across all areas of our global business.

In this role, you will:

• Define and execute the long-term roadmap for Talent Discovery, leveraging historical data and evolving business objectives to maximize team productivity and organizational impact
• Refine and monitor key performance indicators to sustain a high-bar for hiring success. Utilize deep analytics to inform resourcing needs, identify hiring trends, and drive data-backed decision-making
• Cultivate a high-performance, global culture that balances rigorous delivery with psychological safety, ensuring an inclusive environment where team members can learn, grow and thrive
• Serve as a consultant to the Recruiting Leadership Team (RLT), providing the delivery projections, market intelligence, and talent mapping necessary to shape MongoDB’s global hiring roadmap
• Advance our global sourcing capabilities through the adoption of cutting-edge tools and AI. You will serve as a functional expert, ensuring the team remains competitive by driving training initiatives that elevate our collective sourcing craft
• Cultivate cross-functional partnerships to synchronize Talent Discovery’s workflow with MongoDB’s global business priorities. You will be responsible for ensuring the team is strategically deployed to tackle the company’s most essential talent gaps, maximizing both impact and ROI

Our ideal candidate will have:

• Experience & Leadership: 10+ years of progressive recruiting experience, including 4+ years of direct people management in a high-growth technology environment
• Strategic Breadth: Proven success leading sourcing or full-lifecycle teams focused on technical talent; additional experience overseeing Sales or GTM (Go-To-Market) functions is highly desirable
• Change Leadership: A demonstrated ability to guide teams through organizational evolution and ambiguity, with the agility to redefine workflows and maintain high performance during periods of transition
• Data Fluency: Mastery of talent analytics; the ability to move beyond surface-level metrics to perform deep-dive analyses that justify resource allocation and drive strategic pivots
• Executive Influence: Strong executive presence and the confidence to challenge the status quo. You possess exceptional written and verbal communication skills, capable of producing high-quality deliverables for C-suite leadership
• Operational Excellence: Expert-level knowledge of top talent sourcing tools and a passion for staying at the forefront of passive outreach strategies, including leveraging AI to innovate talent pipelining workflows
• A Global Mindset: Experience leading or partnering with international teams; you possess the cultural intelligence required to lead a highly global team and navigate new employment markets
• A "Builder" Mentality: You thrive in environments where you are expected to architect the playbook rather than follow one. You have a keen eye for identifying system bottlenecks and a proven track record of optimizing processes to drive efficiency and hiring velocity

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 #1273403646

We are looking for a Staff Content Engineer to join our Builder Relations team. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community to create inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about inspiring and highlighting other builders and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Builder Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

Candidate Profile

We are excited to welcome an influential individual to our team who, through their professional experience, has developed a passion and expertise for MongoDB. You’re ready to lead creation of team- and community-contributed articles, tutorials, video, and code that show builders the possibilities of using our platform. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 8 years of experience in a builder role, such as a software engineer, architect, or developer, where they deployed data-solutions in production. Ideally, they will have additional experience in a customer-facing role (such as solution architect), teaching, or related technical role, where they’ve used code and content to support others. 

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Produce high-quality content. You will create narratives that showcase MongoDB's capabilities and motivate others to build applications using our platform
• Establish templates, reusable artifacts, and processes to scale the creation of  inspiring content and code with our most passionate and expert customers and community members
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Highlight team, customer, and community contributions through social media, forums, and well-produced video
• Provide guidance, peer and technical review of code and content
• Work across teams to ensure code and content is placed in channels highly visible and influential to builders and agents
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, forums, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their use cases and provide recommendations on how they can better utilize MongoDB
• Collaborate with our events and field teams to engage community and customers at meetups, events, hackathons, and startup houses

Requirements

• Expertise in building solutions with MongoDB
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to projects in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Active user of AI-assisted coding tools, holding opinions on best practices for AI for creating code and supporting content
• Up to 33% of time traveling to community and customer engagements (like meetups, events, hackathons, and startup houses)

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: 1273416960

The Role

The Talent Discovery team is MongoDB’s strategic center of excellence for high-priority hiring. Functioning as a global "SWAT" unit, the team provides both specialized sourcing and full-lifecycle support for the company’s most critical roles. As the function’s Senior Manager, you will lead this high-impact team through its next evolution, driving a sophisticated talent engine designed to solve complex hiring challenges across every department.

In this role, you will bridge the gap between high-level business objectives and tactical excellence. Leading a global team across the U.S., EMEA, and India, you will serve as a manager of managers, empower your broader team to navigate ambiguity and pivot quickly to meet the needs of a scaling business. You will remain a strategic "player-coach" who stays close to the craft while optimizing the function. By leveraging data to elevate performance and serving as a consultant to MongoDB’s executive leadership, you will ensure we are positioned to meet our ambitious hiring goals across all areas of our global business.

In this role, you will:

• Define and execute the long-term roadmap for Talent Discovery, leveraging historical data and evolving business objectives to maximize team productivity and organizational impact
• Refine and monitor key performance indicators to sustain a high-bar for hiring success. Utilize deep analytics to inform resourcing needs, identify hiring trends, and drive data-backed decision-making
• Cultivate a high-performance, global culture that balances rigorous delivery with psychological safety, ensuring an inclusive environment where team members can learn, grow and thrive
• Serve as a consultant to the Recruiting Leadership Team (RLT), providing the delivery projections, market intelligence, and talent mapping necessary to shape MongoDB’s global hiring roadmap
• Advance our global sourcing capabilities through the adoption of cutting-edge tools and AI. You will serve as a functional expert, ensuring the team remains competitive by driving training initiatives that elevate our collective sourcing craft
• Cultivate cross-functional partnerships to synchronize Talent Discovery’s workflow with MongoDB’s global business priorities. You will be responsible for ensuring the team is strategically deployed to tackle the company’s most essential talent gaps, maximizing both impact and ROI

Our ideal candidate will have:

• Experience & Leadership: 10+ years of progressive recruiting experience, including 4+ years of direct people management in a high-growth technology environment
• Strategic Breadth: Proven success leading sourcing or full-lifecycle teams focused on technical talent; additional experience overseeing Sales or GTM (Go-To-Market) functions is highly desirable
• Change Leadership: A demonstrated ability to guide teams through organizational evolution and ambiguity, with the agility to redefine workflows and maintain high performance during periods of transition
• Data Fluency: Mastery of talent analytics; the ability to move beyond surface-level metrics to perform deep-dive analyses that justify resource allocation and drive strategic pivots
• Executive Influence: Strong executive presence and the confidence to challenge the status quo. You possess exceptional written and verbal communication skills, capable of producing high-quality deliverables for C-suite leadership
• Operational Excellence: Expert-level knowledge of top talent sourcing tools and a passion for staying at the forefront of passive outreach strategies, including leveraging AI to innovate talent pipelining workflows
• A Global Mindset: Experience leading or partnering with international teams; you possess the cultural intelligence required to lead a highly global team and navigate new employment markets
• A "Builder" Mentality: You thrive in environments where you are expected to architect the playbook rather than follow one. You have a keen eye for identifying system bottlenecks and a proven track record of optimizing processes to drive efficiency and hiring velocity

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 #1273403646

The Head of Post Sales Technology is responsible for transforming Customer Support into an AI-first, automation-led, insight-driven organization.

This leader will design and execute a technology strategy where AI is not an add-on, but the foundation of how support operates — from customer self-service and intelligent routing to real-time agent augmentation and predictive service operations.

The role sits in the IT organization, and will define how emerging AI capabilities fundamentally reshape customer experience, agent productivity, and cost structure.

We are looking to speak to candidates who are based in Palo Alto / San Francisco or New York City for our hybrid working model.

Key Responsibilities

Partner with the Technical Support organization, Customer Success and Professional Services organization to understand the business objectives and chart out a technology strategy and roadmap to address their needs. 

1.  AI-First Strategy & Transformation

• Define and own a multi-year AI roadmap for post sales.  The capabilities should ideally include
• Suggested responses
• Knowledge article generation
• Case summarization
• Sentiment detection
• Next-best-action recommendations
• Reimagine support workflows assuming AI agents and copilots are default participants
• Lead transition from reactive case management to predictive, proactive service
• Establish governance for responsible and secure AI deployment

2. Autonomous & Conversational AI

• Architect scalable conversational AI platforms for chat, voice, and digital channels
• Lead implementation of AI solutions using modern AI native platforms
• Develop frameworks to measure AI containment rates, hallucination risk, escalation patterns, and customer trust
• Continuously tune models based on real customer interaction data

4. Intelligent Case Lifecycle & Automation

• Implement predictive case routing based on complexity and skill
• Automate repetitive workflows and approvals
• Use machine learning to detect systemic product issues and trigger escalation automatically
• Drive closed-loop feedback into Product and Engineering

5. Data, Insights & Predictive Analytics

• Establish unified support data architecture
• Build real-time dashboards with actionable insights
• Develop predictive models for:
• Volume forecasting
• Churn risk
• SLA breach risk
• Escalation likelihood
• Transform support data into a strategic asset

6. Platform & Architecture Ownership

• Own the support technology stack end-to-end
• Ensure integration with Sales, Customer Success, Billing, and Product systems
• Standardize APIs and data models to support AI training and analytics
• Ensure high availability, security, and compliance

7. Change Leadership

• Lead cultural transition to AI-augmented support
• Upskill agents and managers in AI collaboration
• Build trust through transparent AI governance and explainability
• Partner with HR and Enablement to redefine roles and career paths in an AI-native organization

Qualifications

• Track Record: 10+ years experience with proven success in leading AI adoption and implementation at scale in companies of comparable size and complexity
• Product Management experience - Experience working in IT as a product manager including but not limited to user interviews, discovery, scoping, product vision and roadmap definition, product execution and delivery against the roadmap and measurement of product adoption and definition and tracking of other success metrics 
• Technical Depth: Strong knowledge of post sales and customer success platforms, enterprise data platforms, RAG solutions, intelligent workflow automation, and enterprise integration
• Strategic Leadership: Demonstrated ability to set vision, build consensus, and drive measurable business value through AI
• Communication: Excellent stakeholder management, communication, and change leadership skills
• Education: Bachelor’s degree required (comp science preferred); Master’s or MBA preferred

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 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: 1273386617

Your Impact

At DISCO, we don't just execute initiatives; we drive meaningful change to the business and our people. As our Strategic Change Manager, you will serve as a high-level architect of strategic change for our most critical business initiatives. You’ll be the bridge between executive vision and employee reality, turning complex software implementations Go to Market Launches into seamless transitions.

You aren’t just following a playbook—you’ll write it. You’ll partner with our Senior Leadership to define the "DISCO Way," creating the frameworks and toolkits that will guide our organizational growth for years to come.

What You'll Do

• Design the Blueprint: Apply your Prosci expertise to build comprehensive change strategies for high-stakes initiatives (think Quote-to-Cash and major GTM Initiatives).
• Be an Executive Change Partner: Serve as a trusted advisor to our VPs and C-suite, helping them become the visible, active sponsors our teams need.
• Build the Toolkit: Create the centralized "DISCO Standard" for change—templates, frameworks, and best practices that make us better every day.
• Coach the Pros: Mentor our Project Managers on how to balance business milestones with human readiness and adoption metrics.
• Mitigate the Friction: Identify potential resistance before it happens and architect smart ways to navigate change saturation.
• Measure What Matters: Use your data literacy to design high-impact surveys and track the KPIs that prove our change efforts are delivering real ROI.

Who You Are

• A Change Veteran: You have 8-10+ years of corporate experience, with at least 5 years dedicated to leading large-scale organizational transformations.
• Prosci Certified: This isn't your first rodeo with the Prosci methodology—it’s a core part of your professional DNA (Certification is required).
• A Master Communicator: You have a knack for active listening and can translate complex strategic messages into something everyone can get behind.
• Strategically Minded: You see the big picture. You understand how a shift in a business process creates ripples across the whole company, and you know how to manage those ripples.
• High-Level Influencer: You’re comfortable (and effective) when sitting across the table from executives, providing candid feedback and strategic direction.
• Data-Fluent: You love a good insight. You know how to create unbiased surveys and interpret feedback to pivot strategies in real-time.

Even Better If You Have…

• Tech Stack Savvy: You’re already a pro at navigating Google Workspace, Confluence, and Slack.
• Project Management Synergy: You speak "Project Management" fluently and can weave change management activities into a project lifecycle without missing a beat.
• A Habit of Innovation: You don't just use existing tools; you enjoy building better ones.

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.

Perks of DISCO 

• Open, inclusive, and fun environment
• Benefits, including medical, dental and vision insurance, as well as 401(k) 
• Competitive salary plus RSUs
• Flexible PTO 
• Opportunity to be a part of a company that is revolutionizing the legal industry
• Growth opportunities throughout the company

About the Role

Anthropic is seeking a Certification Development Lead to build and scale a best-in-class certification program for our partner ecosystem. We’ve launched our first certification, the Claude Certified Architect, Foundations (CCA-F), and now we need someone to turn that first credential into a comprehensive, multi-tiered program that our systems integrator, consulting, and technology partners rely on to demonstrate real competence with Claude.

This is a 0-to-1 build. You’ll define the certification strategy, design the credential architecture, and build the program infrastructure from the ground up, all with our partner audience at the center. You’ll work at the intersection of program design and subject matter expertise: identifying what partners need to know, structuring the path to get them there, and collaborating with internal SMEs to ensure the content reflects how Claude actually works and where it’s headed. The systems and tooling that deliver certifications are being built by a separate team; your focus is the program itself, the credentialing framework, the partner experience, and the cross-functional relationships that keep it all connected.

The broader program strategy, including audience planning, partner relationships, and go-to-market alignment, lives within the Partner Enablement team. You’ll sit at the center of that work, collaborating closely with Partnerships, Applied AI, and GTM Productivity to ensure certifications serve both the partners earning them and the Anthropic teams relying on certified partners to extend our reach.

Responsibilities

• Own the end-to-end certification program: define the vision, build the credentialing framework, and establish the multi-tiered certification path that scales with Anthropic’s partner ecosystem
• Design certification architectures, competency frameworks, and assessment methodologies that measure real applied skill, not just content exposure
• Build with the partner audience in mind: understand the needs, workflows, and incentives of SI, consulting, and technology partners, and design credentialing experiences that meet them where they are
• Collaborate with internal subject matter experts across Applied AI, Product, and Engineering to translate Claude’s evolving capabilities into rigorous, current certification content
• Partner with trainers and to ensure alignment between training delivery and credentialing requirements, so the learning journey and credential path reinforce each other
• Work cross-functionally with Partnerships, GTM Productivity, and Revenue Operations to connect certification outcomes to partner performance, pipeline attribution, and ecosystem health metrics
• Define and manage relationships with credentialing vendors and collaborate with the systems owner on platform and delivery infrastructure decisions
• Establish quality standards for assessments including validity, reliability, and fairness, and use assessment data to continuously improve the program
• Build the operational processes around certification lifecycle management: development, launch, renewal, versioning, and retirement of credentials as Claude’s capabilities evolve

You May Be a Good Fit If You Have

• 7+ years in certification program design, credentialing, developer education, or partner enablement, with demonstrated experience building programs from scratch, not just maintaining existing ones
• A track record of 0-to-1 builds: you’ve stood up a certification or credentialing program where one didn’t exist before, defined the strategy, earned stakeholder buy-in, and shipped it
• Deep understanding of partner ecosystems, particularly SI and consulting partner audiences, and the ability to design certification experiences that drive real adoption and competency within those organizations
• Strong educational design instincts: you think in terms of competency frameworks, learning progressions, and what it actually means to demonstrate mastery versus having been exposed to content
• Experience with assessment methodologies beyond multiple-choice, including performance-based assessment, portfolio evaluation, or scenario-based testing that measures applied skill
• Baseline fluency with AI and technology products, with the ability and curiosity to learn Claude’s product suite deeply enough to articulate the “why” behind each certification tier and competency requirement
• Clear, structured communication and the ability to work with non-education stakeholders (partnerships, sales, engineering) while maintaining rigorous program standards
• Comfort operating in ambiguous, fast-moving environments, making decisions with incomplete information, and iterating quickly based on partner and internal feedback

Strong Candidates May Also Have

• Experience managing relationships with credentialing vendors (Pearson, Credly, or similar) and navigating the operational complexity of third-party certification delivery
• Familiarity with certification program economics: pricing, packaging, and the business model decisions that make a program sustainable
• Background in technical credentialing specifically, such as cloud certifications (AWS, GCP, Azure) or developer platform credentials
• Knowledge of psychometrics, credential validation, or assessment quality frameworks
• Experience benchmarking and learning from best-in-class programs from peer organizations
• Prior work at a high-growth technology company navigating rapid product change

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About the team

Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly.

Position Responsibilities:

In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will:

• Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management.
• Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability.
• Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure.
• Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity.
• Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations.
• Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements.
• Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews.
• Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence.
• Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments.

Requirements:

• 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience.
• Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers.
• Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services.
• Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies.
• Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities.
• Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale.
• Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles.
• Strong development skills: Proficiency in Python or similar languages for automation and tooling.
• Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries.

Preferred Qualifications: 

• Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity.
• Rust development experience or interest in learning Rust for infrastructure tooling.
• Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications.
• Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing.
• Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization.
• CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization.
• Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability.
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience.

About the Role:

We are looking for a Staff DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.

What you will do:

• Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments.
• Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
• Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
• Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
• Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
• Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
• Lead development of AI-powered operations tooling and agentic infrastructure.
• Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
• Mentor junior DevOps engineers and establish team-wide engineering standards.

What we are looking for:

• 7+ years of experience in DevOps, platform engineering, or site reliability engineering.
• Deep, hands-on experience with Kubernetes and the surrounding ecosystem - Helm, Helmfile, ArgoCD, Kyverno, cert-manager, and NGINX Ingress.
• Extensive experience with Google Cloud Platform - GKE, Cloud SQL, Memorystore, Cloud Storage, IAM, and Workload Identity.
• Strong Terraform expertise: modular architecture, multi-environment provisioning, and automated testing.
• Advanced knowledge of GitLab CI/CD and GitOps practices.
• Proficiency in Python and/or Go.

Plus: 

• Advanced Bash scripting skills.
• Experience with secrets management solutions such as Akeyless or HashiCorp Vault.
• Experience with database administration across PostgreSQL, Redis, and MongoDB  -  including DR configuration and operational runbooks.
• Experience with Datadog or equivalent observability platform (APM, infrastructure, log management).
• Experience with Cloudflare for DNS, CDN, and security rules management.
• Demonstrated experience designing and executing disaster recovery programs, including failover testing and runbook authorship.

Bonus:

• Experience in highly regulated environments - SOC2 and HIPAA.
• Excellent communication skills with the ability to lead cross-functional infrastructure initiatives.
• Demonstrated leadership experience, including mentoring junior engineers.
• Experience with HPC or GPU cluster infrastructure, including Slurm..
• Experience building or operating AI agents or agentic infrastructure.
• Experience with microservices architecture and API gateway / reverse proxy patterns.
• Experience with AWS.

Benefits & Perks:  #LI-Hybrid

• Hybrid work schedule with weekly lunches and stocked fridges 
• Monthly social committees for company events
• 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days 
• Stock options for every full-time employee 
• Paid parental leave
• 401k benefit
• Commuter Benefits 
• Competitive health, dental, and vision insurance options 

About the Role

We are seeking a Principal Software Engineer to lead the architecture and evolution of our data and machine learning infrastructure. This role will shape the foundation on which data-driven products, analytics, and AI applications are built. You will design systems that enable large-scale data processing, reliable pipelines, and efficient machine learning development—from feature engineering to real-time model serving.

As a principal engineer, you will partner with product, data science, and platform teams to set technical direction, drive adoption of reusable frameworks, and mentor engineers across the organization. You will ensure that both data and ML platforms are scalable, reliable, cost-efficient, and compliant with privacy and governance standards.

The core of the Data Platform is a data lake on AWS S3 with Apache Iceberg as the table format to ensure reliability. Data ingestion is standardized through Confluent Kafka for real-time streaming and Fivetran for ingestion of files and change-data. The transformation layer is decoupled from storage, using Apache Flink for stream processing, AWS Glue (Spark) for core ETL , and dbt/Athena for building analytical data models. The platform serves data through fit-for-purpose data stores, including Amazon DynamoDB for low-latency applications and Google BigQuery as the primary engine for analytics and BI.

You will report to the Sr. Director of Engineering. This role can be remote in the US, with a preference for candidates in the New York City area.

Responsibilities:

• Architect & Build Platform: Design and evolve infrastructure for data ingestion, storage, batch and streaming pipelines, and machine learning workflows

• Enable ML at Scale: Build systems for training, deploying, monitoring, and governing models, including feature stores, registries, and inference platforms

• Reliability & Observability: Ensure end-to-end system reliability, monitoring, and cost transparency across data and ML workloads

• Self-Service Platforms: Deliver frameworks and APIs that enable engineers, analysts, and ML scientists to build and operate solutions independently

• Innovation & Standards: Evaluate and introduce emerging technologies (vector databases, distributed training, orchestration frameworks, LLM stacks) and establish adoption guidelines

• Cross-Functional Leadership: Partner with platform, product, and engineering and ML science leaders to align on strategy and accelerate delivery

• Mentorship & Influence: Guide senior and staff engineers, lead architecture reviews, and raise the technical bar across data and ML domains

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
  
  

Basic Qualifications:

• 10+ years of software engineering experience with a focus on distributed systems, data platforms, and ML infrastructure or equivalent

• Proven ability to influence technical direction across multiple teams and mentor senior/staff engineers

• Proven expertise in data processing frameworks and table formats (e.g. Spark, Flink, Iceberg) and orchestration tools (e.g. Airflow, Kubeflow)

• Deep knowledge of ML infrastructure: model training pipelines, feature stores, registries, serving, and monitoring

• Strong programming skills in Python and at least one compiled language like Java or Go

• Experience designing systems with scalability, reliability, and cost-efficiency as first-class concerns

• Cloud platform experience (AWS, GCP), familiarity with Kubernetes and modern data platform architectures

• Familiarity with compliance and governance in data/ML systems (auditability, privacy, explainability)

• Familiarity with the data lakehouse paradigm and medallion architecture

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Remote

REQ-018968

About the Role, Mission or Department Overview

The New York Times is looking for a Senior QA Engineer to join our Games team. You will be at the heart of our mission to deliver immersive, world-class gaming experiences. You will lead our offshore QA partners, refine manual testing processes, and architect automation frameworks that ensure the quality of our diverse games suite.

As a Senior member of the team, you will advocate for a "shift-left" testing philosophy - collaborating with Product, Design, and Engineering from the initial creative phase through the entire development lifecycle. You'll join a culture that values transparency, diversity, and learning.

You will report to the Senior QA Manager.

Responsibilities:

• Architect and build a comprehensive testing strategy that balances manual oversight of offshore teams with the development of scalable automation.
• Develop automated test suites using Playwright for web and XCUITest/Espresso for mobile apps.
• Partner early with Product, Design, and Engineering to identify potential issues during the requirements and design phases, ensuring you bake quality in from the start.
• Be a primary contact for our offshore QA crew, providing technical guidance, reviewing test plans, and ensuring high-quality execution.
• Identify bottlenecks in the development lifecycle and implement process improvements to increase release velocity without sacrificing quality.
• Work within an Agile environment to provide clear, relevant feedback and bug reports, participating in code reviews and sprint planning.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 5+ years of experience in software quality engineering, with at least 2 years in a Senior or Lead capacity.
• Experience building and scaling test frameworks using Playwright (or equivalent experience with Cypress or Selenium).
• Hands-on experience with native mobile automation tools, specifically XCUITest (iOS) and Espresso (Android).
• Command of at least one modern programming language (e.g., JavaScript/TypeScript, Swift or Kotlin).
• Experience with exploratory testing, regression testing, and test case management.
• Experience collaborating and communicating with cross-functional teams.

Preferred Qualifications:

• Previous experience testing mobile or web-based games, including familiarity with multi-player games and UI/UX consistency.
• Experience integrating automated tests into deployment pipelines (e.g., GitHub Actions, Drone, or Terraform).
• Familiarity with tools like k6, JMeter, or Postman to test backend reliability and load capacity.
• Experience with cloud-based testing platforms like BrowserStack or Sauce Labs.
• Interest in the evolving AI landscape, with a willingness to explore, pilot, and implement AI-assisted tools that enhance our development and testing processes.
• A growth-oriented mindset: You embrace technical challenges, learn from mistakes, and are eager to share your findings to help the whole team level up.

This is a hybrid remote/in-office role based in our New York headquarters.

#LI-Hybrid

REQ-019767

About the Role, Mission or Department Overview

The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We are hiring a Senior Software Engineer to help build the backend services and infrastructure that will form our internal AI Platform.

This platform will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to advance our journalism and our business. You will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times.

This is a hybrid position based in our New York City headquarters. You can typically expect to come into the office two days per week.

Responsibilities:

• Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our business.

• Take ownership of core platform components and integrations, including systems for prompt and workflow management, evaluation and tracing, and monitoring for cost, usage, and performance.

• Build and operate vector database and retrieval infrastructure to support search and AI-powered discovery experiences.

• Design and develop retrieval-augmented generation (RAG) pipelines and agentic workflows that connect our content, data, and AI models.

• Build orchestration layers for multi-step AI workflows, managing the coordination of LLM calls, retrieval, and business logic.

• Develop the infrastructure that enables teams to create and manage their AI applications, complete with metadata, observability, and access controls.

• Architect and implement data pipelines and storage solutions to support our AI systems.

• Write high-quality, maintainable, and well-tested code, primarily in backend languages like Python or Go.

• Ensure a high degree of code quality, security, and system observability.

• Collaborate with editorial, product, ML, and data teams to translate requirements into platform capabilities.

• Review code written by other software engineers on the team and provide feedback.

• Contribute to and advocate for robust testing strategies to ensure service reliability.

• Be a mentor to other software engineers to enable their growth.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 5+ years of software engineering experience, with a strong focus on backend development.

• 5+ years of experience in one or more backend programming languages such as Python or Go.

• 5+ years of experience designing, building, and operating distributed systems and APIs at scale.

• 1+ years of experience building applications with Large Language Models (LLMs) and familiarity with the surrounding ecosystem (e.g., orchestration, retrieval-augmented generation).

Preferred Qualifications:

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-019837

About the Role, Mission or Department Overview

The New York Times is looking for a Lead Data Taxonomist to serve as the architect and steward of our enterprise-wide event taxonomy. The New York Times is home to multiple products across News, Games, Cooking, Wirecutter, and The Athletic with billions of monthly events. Therefore, the need for a unified, governed, and high-quality data language is critical. In a long-term effort, it will dramatically improve data quality at the New York Times and power real-time recommendation engines, personalization algorithms, and future AI initiatives.

You will be responsible for New York Times' global event data catalog and taxonomy. You will sit at the intersection of Product, Data Platform, and Analytics, capturing every interaction — from a Wordle guess to a subscriber payflow — through a standardized, semantic lens. You will report to our Executive Director, Data & Insights.

Responsibilities:

• You will develop and maintain a multi-domain enterprise taxonomy that includes Behavioral, Commerce, Messaging, User, Session, and other key data domains. This taxonomy will be transferable across all NYT products and codebases.

• You will establish and enforce global events, event properties, standard property values, required fields, acceptable value types, and naming conventions. You will own the definition and lifecycle of global events that track the user journey across the entire NYT ecosystem.

• You will be the final authority for the taxonomy, approving or rejecting all pull requests and proposals for new events, properties, or changes to the existing taxonomy.

• You will oversee the enterprise event catalog, ensuring it serves as a high-fidelity source of truth with accurate business logic and metadata.

• You will define and monitor domain-specific KPIs for data quality, security, and integration, solving for systemic issues.

• You will iterate with engineers to improve instrumentation capabilities in service of data products

• You will collaborate with engineers to align the taxonomy with Kafka infrastructure and with Analytics Engineering to ensure data is designed to flow effortlessly downstream and to help develop our larger New York Times ontology

• You will facilitate and provide oversight for data councils concerning events and metrics

• You will provide support and training to product and analytics teams to improve and evolve event tracking

• You will advocate for information architecture best practices and master data management (MDM) principles across the organization.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 7+ years in Data Taxonomy, Data Ontology, Data Architecture, Technical Product Management, or Digital Analytics Implementation.

• 5+ years of developing taxonomies and information architecture for front-end and back-end use cases

• 5+ years of experience with event-cataloging software (e.g., Avo, Iteratively, Segment Protocols, or proprietary internal tools).

• Experience managing complex, global event taxonomies for large, multi-product organizations

• Expertise with JSON, YAML, and other data modeling languages and tools

• Mastery of SQL, Python, and other data wrangling tools and languages

• Experience enforcing standards in high-growth, decentralized engineering environments

• Applied knowledge of industry-leading data governance, quality, and data management practices and tools

Preferred Qualifications:

• Proficiency with GCP, AWS, or other big data environments

• Background in subscription or media industries with complex data

• Familiarity with Data Contracts and their implementation within a CI/CD workflow.

• Master's degree in Library Science, Information Management, or Computer Science.

REQ-019811 

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

The role:

SoFi’s Staff AI Engineer is a highly experienced, hands-on individual contributor within SoFi’s growing independent risk organization, focused on owning the design, development, and evolution of agentic AI systems to solve real-world, high-impact problems.

This role will be instrumental in architecting, building, and scaling AI systems that enhance risk management and internal workflows, with a focus on creating reliable, reusable, and production-grade solutions.

This role operates at the intersection of the intelligence layer, including LLMs, agents, and orchestration, and the experience layer, which defines how users interact with and derive value from AI systems. You will shape how these systems are designed and integrated into critical workflows, ensuring they are intuitive, reliable, and effective in high-stakes risk environments.

You will work closely with the Senior Manager of AI Engineering as well as business stakeholders, to translate complex, ambiguous problems into scalable, production-grade AI systems with measurable impact.

What you’ll do: 

• Architect and Develop Agentic AI Systems: Lead the design and development of AI systems that leverage multi-step reasoning, tool use, and structured workflows, using frameworks such as LangGraph or similar approaches. Incorporate planning, memory, tool integration, and adaptive control flow to enable automated decisioning, risk insights, and internal platforms.
• Design the Experience Layer: Define how users interact with AI systems by designing workflows, interfaces, and feedback loops that drive adoption, usability, and trust. THis will involve close coordination with users / stakeholders. Ensure alignment between system behavior and user expectations.
• Context Engineering and System Design: Define and implement approaches for structuring inputs, outputs, and system context to improve reliability and performance of LLM systems, including prompt design, retrieval strategies, and workflow composition.
• Productionize AI Systems: Develop production-grade services and APIs, integrate agents into real systems, and ensure scalability, reliability, and maintainability.
• AI Observability and Evaluation: Build tracing, debugging, and evaluation frameworks to understand system behavior and continuously improve agent performance.
• Cross-Functional Collaboration: Partner with risk, engineering, and business teams to translate ambiguous problems into working AI systems and deliver measurable outcomes.
• Proof of Concepts and Innovation: Innovation and Prototyping: Identify high-impact opportunities to apply AI, rapidly prototype solutions, and evaluate emerging tools and approaches to inform long-term system design aligned with latest trends in AI.

What you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of software engineering experience, with significant experience building and scaling AI-powered systems in production.
• Strong experience working with LLMs and building applications using prompting, APIs, and/or agent frameworks.
• Experience designing and implementing agentic systems, including patterns such as tool use, multi-step reasoning, and workflow orchestration.
• Deep experience in context engineering for LLM systems, including structuring inputs and outputs, prompt design, and retrieval-based approaches.
• Strong backend engineering experience, including building scalable services and APIs (Python preferred).
• Experience designing systems on cloud platforms such as AWS, Azure, or GCP, with an understanding of modern development and deployment practices.
• Experience working with structured and unstructured data, including building pipelines to support downstream AI applications.
• Experience defining and implementing evaluation frameworks for AI systems, including metrics, experimentation, and performance iteration.
• Strong system design skills, with the ability to architect scalable, reliable solutions.
• Ability to operate effectively in ambiguous problem spaces and translate them into well-defined systems.
• Strong communication and collaboration skills, with the ability to work cross-functionally and influence technical decisions.
• Demonstrated ownership mindset, with a track record of delivering high-impact systems end-to-end.

Nice to have:

• Experience designing and building user-facing workflows or internal tools powered by AI.
• Familiarity with observability and evaluation tools for AI systems such as Langfuse, LangSmith, or similar.
• Experience working in financial services or building systems for risk-related use cases.
• Experience with frontend technologies such as React for building AI-powered interfaces.
• Experience contributing to shared platforms, libraries, or internal tooling that enable reuse across teams.
• Experience building systems that require explainability, auditability, or operate in regulated environments.

THE ROLE 

As an Associate Finance Consultant, you will empower our customers to visualize the financial future of their data centers by translating complex technical shifts into compelling economic narratives. Joining our Global Value Management team, you’ll serve as the bridge between IT innovation and financial justification, collaborating with sales and finance leaders to prove the ROI of the Everpure™ Platform. This is a high-impact opportunity to master value-based selling while helping global organizations quantify cost savings, sustainability gains, and operational agility.

LOCATION: Raleigh, North Carolina, New York or Chicago

Hybrid role: This position requires regular in-office presence for in-person collaboration.

WHAT YOU’LL DO

• Architect Defensible Business Cases: Build and own comprehensive financial models that calculate TCO, ROI, and NPV, ensuring every customer investment is backed by transparent, audit-ready data.
• Quantify Strategic Value: Partner with customer stakeholders in Finance and IT to identify and measure key value levers such as power/cooling reduction, increased developer productivity, and mitigated downtime risks.
• Drive Consultative Discovery: Lead structured interviews and data collection workstreams to uncover "outside-in" insights that align Everpure’s solutions with specific executive business priorities.
• Optimize Value Frameworks: Enhance our library of reusable benchmarks and modeling templates, directly improving the efficiency and accuracy of the global sales organization’s value-selling efforts.
• Translate Technical Impact: Convert technical performance metrics into clear commercial language, delivering executive-level summaries that simplify complex purchasing decisions for C-suite stakeholders.

WHAT YOU BRING

• Analytical Rigor: Proficiency in financial modeling (Google Sheets/Excel) with the ability to manage complex datasets, validate assumptions, and structure clear, logical cash-flow and P&L formats.
• Financial Literacy: A strong grasp of core economic concepts such as ROI, CAPEX/OPEX structures, and cloud economics, with the ability to connect infrastructure decisions to bottom-line business outcomes.
• Consultative Communication: Skill in distilling technical and financial data into persuasive written and verbal narratives that resonate with diverse audiences, from systems engineers to CFOs.
• Professional Discipline: A track record of managing multiple project timelines simultaneously, demonstrating high attention to detail in governance and version control within a fast-paced environment.

Senior Business Development Leader, AI Native Ecosystems & Strategic Influence

THE ROLE You will be the primary architect of Everpure’s "Pull-Through" strategy, ensuring the world’s most influential AI Native startups mandate Everpure™ as their foundational data layer. By moving upstream to influence technical and executive leadership, you will secure our place within $100M+ GPU contracts across Neoclouds and Hyperscalers. This high-impact role bridges the gap between disruptive AI engineering and global cloud infrastructure, establishing Everpure™ as the indispensable standard for the next generation of AI giants.

WHAT YOU’LL DO

• Establish Architectural Mandates: Build deep-rooted partnerships with C-suite and Engineering leaders at high-growth AI startups to get Everpure™ written into their "Standard Reference Architecture," ensuring our technology is a non-negotiable requirement for their production environments.
• Drive Ecosystem Orchestration: Collaborate with the Neocloud ecosystem (e.g., CoreWeave, Lambda) to integrate Everpure™ as a first-class citizen within their GPU-as-a-Service offerings, creating seamless "bring-your-own-storage" paths for customers.
• Execute Competitive Displacements: Outmaneuver niche storage players by positioning the reliability, power efficiency, and "Evergreen" model of the Everpure™ Platform as the only sustainable choice for large-scale LLM and RAG deployments.
• Influence Product Evolution: Serve as a strategic conduit between the AI startup ecosystem and Everpure’s internal AI/HPC product teams, ensuring our roadmap anticipates and solves for the extreme-scale requirements of emerging AI training loops.

WHAT YOU BRING

• Strategic Ecosystem Influence: Proven ability to navigate and influence the SF/NYC/Seattle AI startup landscape and Neocloud provider networks to secure high-impact, "lighthouse" partnerships.
• Technical AI Fluency: Deep understanding of AI infrastructure, including NVIDIA architectures, RDMA/RoCE fabrics, and the critical role of metadata performance in high-frequency AI training and inference.
• Business Transformation Expertise: Demonstrated success in executing complex, non-traditional business development motions that shift market perception and drive large-scale infrastructure adoption through strategic influence rather than high-volume transactions.
• Collaborative Leadership: Ability to lead cross-functional initiatives independently, acting as a facilitator between external executive stakeholders and internal engineering teams to resolve complex architectural challenges.

The Impact You’ll Be Contributing to Moloco: 

The Customer Engineering (CE) team at Moloco partners with the Business Development (BD) and Product/Engineering teams to be the trusted technical advisors for Moloco’s clients. You will help the retail media platform owners to successfully build an in-house advertisement business for clients using the Moloco Commerce Media (“MCM”), a machine learning-powered AdTech solution. 

Within the MCM org, the Customer Engineering team (CE) is responsible for driving the successful adoption of Moloco Commerce Media, serving as GTM champions and technical experts. The CE team will drive the successful adoption of our products by advising clients on the best technical implementation and delivering training, architecture design consultations, and best practices. The CE team identifies gaps in the product, develops technical solutions, and communicates feature requests to product, engineering, and other cross-functional partners to shape product direction.

The Opportunity: 

• Be the trusted technical advisor for clients by offering guidance on platform integration, optimization, and troubleshooting.
• Understand clients' business objectives and challenges to provide tailored technical solutions and recommendations.
• Collaborate with BD teams to support pre-sales activities, including product demonstrations, technical consultations, and solution design.
• Lead technical implementation projects, including platform setup, configuration, and customization, to meet clients' requirements and deadlines.
• Conduct training sessions and workshops to educate clients on best practices, new features, and industry trends.
• Proactively identify opportunities for process improvement, feature enhancements, and product innovation based on client feedback and market insights.
• Stay abreast of industry developments, emerging technologies, and competitive landscape to maintain a deep understanding of the AdTech ecosystem.

How Do I Know if the Role is Right For Me? 

• 8+ years of professional experience within cloud, software, or machine learning domain areas like software engineering, systems engineering, machine learning, cloud infrastructure architecture, networking, security, data and analytics. 
• 5+ years in technical field roles – like Solutions Architect, Customer Solutions Engineer or Professional Services Consultant – in the retail or the AdTech industry.
• 3+ years of hands-on implementation, architecture design, or consulting experience in the application or the cloud infrastructure. 
• Strong technical and problem-solving skills, the ability to understand and troubleshoot systems and application flows, dive deep into complex problems & find their root cause.
• Experience in a technical role within the AdTech industry, preferably with hands-on experience in ad serving platforms, programmatic advertising, or related technologies.
• Comfortable communicating technical concepts to both technical and non-technical audiences.
• Demonstrated experience to autonomously identify goals and effectively deliver the goals along with the cross-functional internal and external stakeholders.

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

The role 

The Technical Director of Media and Entertainment, AI Infrastructure is a senior individual contributor who operates at the intersection of deep AI infrastructure engineering and the business of media and entertainment. You will report to the GM of Media & Entertainment and help define the technical foundation that makes Nebius the default infrastructure partner for the world's most demanding M&E workloads.

You will work alongside CTOs and engineering leaders at studio groups, VFX houses, gaming studios, agency holding companies, and generative AI model companies. Your role is not to pitch them; it is to build with them. You will translate their most complex infrastructure problems into engineered solutions, own the technical relationship with our most strategic ISV and cloud-native partners, and use what you learn in the field to directly influence the M&E product roadmap alongside Nebius's global Head of Product and Head of Engineering.

This is a ground-floor opportunity to define what AI-native infrastructure looks like for an industry in the middle of a fundamental transformation.

You are welcome to work remotely from the United States (SF Bay Area or NYC preferred) Travel expectations 10%-20% for executive meetings and key industry events. 

Your responsibilities will include: 

AI Infrastructure Architecture

• Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships , studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. These architectures must be engineered to survive real-world scale, not just pass a POC.
• The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions , data lake locality, storage tiering, inference optimization, directly impact their business model and operability.

Forensic Requirement Gathering

• Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower rendering costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%”).
• Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward.

ISV & Partner Technical Strategy

• Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms.
• Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards.
• Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage , and be equally rigorous about what not to pursue.

Internal Technical Influence

• Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction.
• Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.

We expect you to have: 

• 12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
• Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite. You have operated at the top-to-top level , your counterparts are CTOs and VPs of Engineering.
• Builder Mentality: This is an IC role. You build things. You are not here to manage a team or delegate to an implementation function , you are here to architect and ship solutions alongside partners, and to build the assets (reference architectures, integration playbooks, technical frameworks) that make Nebius’s M&E infrastructure strategy defensible and scalable. You may have come from a startup, run your own company, or operated within a large org in a way that felt like building from zero.
• Product-Minded: Experience defining a platform strategy, not just executing tickets. You are comfortable telling a customer “No” when a request creates technical debt, and proposing a better alternative.
• Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it.
• Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth.

AI Infrastructure Expertise

• Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet).
• Inference Optimization: You understand the nuances of model serving , batch sizes, quantization, KV caching, latency tradeoffs , and can architect solutions for both massive throughput and real-time (sub-50ms) demands.

Domain Context: Media & Entertainment

Industry Fluency: You have operated within the M&E ecosystem and can speak to the infrastructure implications across the following sub-sectors:

• Gaming
• Multimodal Generative Models
• AdTech
• VFX / Content Production

Non-negotiable: Candidates without deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning will not be considered. This is a hard requirement, not a preference.

AI Infrastructure Expertise 

• Mastery of the Stack: You must be an expert in the physics of AI infrastructure. This includes deep, production-grade knowledge of GPU architectures (H100 vs. L40s), Kubernetes orchestration (K8s), high-performance storage parallel file systems (e.g., Lustre, WEKA), and networking constraints (InfiniBand/Ethernet). 
• Inference Optimization: You understand the nuances of model serving—batch sizes, quantization, KV caching, and latency tradeoffs—and can architect solutions for both massive throughput and real-time (sub-50ms) demands. 

It will be an added bonus if you have:

• Hands-on experience with VFX pipelines, studio-scale content production workflows, or the cloud tooling that powers them , render farm management, distributed simulation, asset pipeline tooling. You understand how content gets made, moved, and transformed at scale, and what infrastructure makes that possible.
• Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.

Alloy is where you belong!

Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers.

Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, Best Fintech to Work for by American Banker, year after year.

Check out our investors and read more about us here.

About the team

Alloy's engineering org is built around speed, ownership, and deep collaboration. Our Platform and Infrastructure/Site Reliability teams report into the same leadership, which ensure seamless cross-team collaboration. Platform engineers here don't just build APIs in isolation, they work hand-in-hand with SRE to think about how systems run, scale, and recover in production. It's a setup that rewards engineers who care about the full lifecycle of the software they ship.

The backend powers everything from fraud detection and transaction classification to data ingestion and third-party integrations. We are a high performing team where engineers have significant ownership over core systems. There’s no separate “architecture layer”—the people writing the code are the ones making the decisions.

We're a hybrid team based in Greenwich Village, NYC, and we're looking for someone local to the Greater NYC area who will attend the office Tuesdays through Thursdays.

What you'll be doing

As a Senior Platform Engineer, you will:

• Architect and build backend systems. You'll own features end-to-end: from database design through to API endpoints, triggered events, and data pipelines. That means collaborating with Solutions Architects and Product Managers to spec out what clients actually need, then making it real in Node.js with a Postgres backend.
• Partner with Infra and SRE. With Platform and Infra/SRE under the same roof, you'll be involved in conversations about reliability, deployment, and production health– not just as a consumer of infrastructure, but as a collaborator. Observability, failure modes, and operational readiness are part of how we build at Alloy.
• Drive platform-level initiatives. Beyond feature work, you'll take on the kind of foundational improvements that make the whole team faster and more resilient, whether that's improving data ingestion pipelines, tightening up integrations with third parties, or reducing toil for the engineers around you.
• Own incident response and follow-through. When things break, you help get them back up. More importantly, you stick around for the blameless post-mortem and make sure the same thing doesn't happen twice.
• Mentor and multiply the team. You'll be given the trust and authority to tackle ambiguous, high-impact problems end-to-end, making architectural tradeoffs that hold up in production, and raising the bar for how the team builds and operates systems.

Who we’re looking for

• Experience: 8+ years of production software engineering experience, with a track record of owning meaningful backend systems on a collaborative team.
• Technical depth: Strong command of our core stack, or the clear ability and willingness to get there fast:
  • Node.js (TypeScript preferred)
  • Data systems expertise: Deep expertise in relational databases and experience with analytical databases. You think in terms of query plans, indexing strategies, and data access patterns. Our data layer powers real-time decisions and analytics, so you’re expected to actively optimize how services interact with databases for performance, scalability, and reliability.
  • Cloud expertise: You’re comfortable designing systems in public cloud, understand tradeoffs between managed services and custom infrastructure, think about scalability, reliability, and cost as first-class concerns
  • Observability
• Nice to have: Experience designing high-throughput data pipelines, working with event-driven systems, or operating services under real production load is a strong plus.
• Collaboration over credentials: We care far more about how you think, communicate, and work with others than about your degree or resume formatting. If most of your experience is through contracting or ambitious personal projects, tell us about it, we're open!
• Ownership mindset: You don't wait to be told what to fix. You notice problems, flag them, and help solve them.

We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us?

Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically!

This position has a salary range of $198,000 to $250,000.

Benefits and Perks 

• Unlimited PTO and flexible work policy
• Employee stock options
• Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
• 401k with 100% match up to 4% of annual employee compensation 
• Eligible new parents receive 16 weeks of paid parental leave 
• Home office stipend for new employees
• Annual Learning & Development annual stipend
• Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health 
• Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Friday most employees Zoom into work from home while some take advantage of the quieter office.

How to apply

Apply right here! You've found the application!

Alloy is proud to be an equal-opportunity workplace and employer. We’re committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter.

All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you’re ever unsure, please contact us directly via our website before sharing personal information.

We are looking for a Staff Software Engineer that will join the Auth0 Security Engineering organization. You’ll be responsible for designing and building the security guardrails for our multi-cloud environment, translating complex security and compliance standards into programmatic, code-driven policies.

What You Will Do

• Cloud Security Strategy: Design organization-wide controls (SCPs, Azure Policy) that provide maximum protection with minimum developer friction.
• Identity & Access Management (IAM): Architect templates and permission boundaries that govern how services and humans interact with our cloud environment with the principle of least privilege in mind.
• Infrastructure & Network Security: Define the security standards for VPC architecture, edge networking, and cross-account connectivity.
• Platform Security Architecture: Lead platform-related security reviews for new features and high-impact services, ensuring security is baked into the design phase.
• System Design: Design systems and processes to validate the security posture of the platform, ensuring our security policies are enforced in real-time with actionable feedback for engineering teams.
• Mentorship & Influence: You raise the bar for the entire organization by mentoring junior engineers and influencing senior leadership on critical security decisions.

What You Bring

• Cloud & Infrastructure Expertise:  8+ years of proven experience in information security, specifically within cloud-native environments, Kubernetes (EKS, AKS), and cloud security.
• Network Architecture & PKI: Deep understanding of secure networking principles, including VPC peering/transit gateways, VPN implementations, edge protection, and managing public/private PKI infrastructures.
• Policy & Automation Specialist: Strong background in building automated controls for enforcing Policy-as-Code within Terraform workflows.
• Practical Risk Assessments: Hands-on experience identifying attack vectors and conducting risk assessments for complex, distributed systems.
• Tooling & AI Proficiency: Experience working with security platforms for analyzing cloud permissions and a background or interest in applying AI to streamline security tasks and governance.
• Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals.
• Education: A Bachelor's degree in Computer Science, Information Security, Systems Engineering, or a related field.

Nice to Have

• Experience navigating compliance frameworks such as FedRAMP, SOC2, or HIPAA in a cloud environment.
• Proficiency in one or more languages used for automation and tooling, such as Python, Go, or JavaScript.
• Experience creating, managing, and securing containerized environments.
• Experience with service mesh (Istio) security policies and zero-trust networking.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data.  As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

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