Chief Product Manager– Collaborative Autonomy and Controls

About the Team

STR’s Analytics & C2 (AC2) Division develops novel technologies to solve challenging national security problems through advanced analytics, sense-making, and autonomy technologies. Our team consists of passionate, motivated individuals with backgrounds and interests in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success for our customers.

The Collaborative Autonomy and Controls (CAC) Group in the AC2 Division develops multi-agent autonomous systems executing multiple missions in a variety of operating domains. By leveraging expertise with machine learning, advanced algorithms, and software development best practices, we build technologies that transform reconnaissance, tactical operations, and many other mission areas.

The Role:
Work with CAC leadership to craft, drive, and execute a product development and marketing strategy that will integrate, test, and demonstrate CAC capabilities to achieve (1) more efficient re-use on new B2G (Business-to-Government) Research and Development opportunities, (2) integrated system offerings for B2G system acquisition opportunities, and (3) component and sub-system offerings for B2B (Business-to-Business) supply chain opportunities. Work with customers, end users, and CAC capability product owners to shape product development backlogs that balance short-term program goals with long-term and emerging customer needs. Work with a diverse set of customers and diverse set of problems, technology areas, and engineering teams. Support product architecture and design reviews as part of an agile development process.  This position will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. 

Who You Are:

• BS in engineering or related technical field with 15+ years’ experience
• Demonstrated expertise in autonomy system and algorithm development
• Experience leading system and technology development teams

• Proven understanding of multi-agent systems, collaborative operations, coordination and orchestration algorithms, distributed sense-making and control, and collaborative autonomy stacks
• Proven understanding of motion planning, constraint optimization, perception, localization, mapping, controls, and related system performance metrics.

• Proven ability to lead moderate to large engineering teams (10-40 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance
• Demonstrated experience in working with both internal leadership and external customers in the development and execution of technology and system development programs

• US. Citizen with the ability to obtain a Security Clearance

Even Better: 

• MBA or advanced degree in technical field
• Experience with intelligent system architectures and machine learning methods
• Active Security Clearance

Pay Information
Full-Time Salary Range: $265,000.00 - $325,000.00

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

The Role

Podium is looking for a talented AI Engineer where your primary mandate is twofold: rebuild and modernise our lead funnel using AI-first architecture, and design and deploy a suite of internal AI agents that eliminate repetitive, manual work for our AEs and SDRs — giving them more time to sell.

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 5-8+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have

• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
• Join the leaders in AI agents
• Unlock career-defining growth
• Build with world-class talent
• Make a real impact on local business

Benefits:

• Open and transparent culture 
• Health and Wellbeing Benefits
• 4 weeks of annual leave
• Melbourne CBD Office - Located on the corner of Queen & Collins St
• Snacks cupboard always stocked up
• Catered lunch the last week of every month

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

About the Team

The International Analytics team is looking for a Data Scientist to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash!

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition and growth, fraud and support, marketing, balancing supply and demand, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos and turning them into explainable, actionable insights, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
• Identify and measure levers to help move essential metrics and make recommendations
• Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
• Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
• Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritizing competing needs

We're excited about you because you have…

• 2+ years of experience in data analytics, consulting, or related quantitative role
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Experience leading /owning strategic projects to completion with multiple cross-functional teams
• Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
• Proficiency in at least one programming language, preferably Python or R
• Very experienced with SQL queries, Basic ETL, Regression techniques 
• Proficiency in one or more analytics & visualisation tools

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Job Duties and Responsibilities:

• Partner with the regional sales team to develop strategic and technical account and territory plans
• Support our customers along their sales journey by showing them the value of the Okta technology through live demonstrations and sales presentations.
• Developing confidence to communicate with stakeholders at all levels of the customer's organization, including CxO, security, developers, Product Managers and IT administrators.
• Serving as the key technical advisor for our customers, leading the technical solutioning phase for our customers, partnering with the sales team and our partners.  Acting as the Technical Advocate for our customers, with Internal Okta teams.
• Execute well-defined, outcome-focussed POCs
• Build and manage technical relationships with Okta Customers, Technology Partners and Delivery Partners.
• Participate in Okta Marketing led events, as a Speaker / Thought Leader and an attendee
• Enjoy travelling and meeting customers. Travel will be mainly domestic.  There may also be opportunities to travel to other Asia Pacific countries to support teammates; and within the US for training and conferences.  

Skills & experiences that will help in the role:

• Minimum of 1-2 years experience in a pre-sales consulting role, or customer facing consulting role.
• Strong communication skills, written and verbal, and an ability to quickly communicate complex ideas around a technical topic, using various means, including in front of a whiteboard.
• Communicate effectively with stakeholders at all levels of the customer's organisation, including CxO, security, developers, and IT administrators.
• Ability to be organised and analytical, and eliminate sales obstacles using creative and adaptive approaches
• A passion to be in the forefront of technology, learning a diverse set of technologies that Okta integrates with and helping solve real world Identity challenges
• Enjoy being in a fast paced environment, operating at the speed of cloud, to help customers accelerate their journey to the cloud, rapid adoption of technology and design their Zero Trust security strategy with Identity as the foundation.

You might also have (not mandatory):

• Experience with Identity & Access Management, Single Sign-on, Security and API-based solutions
• Experience with at least one standard network security protocol (eg. OAuth 2.0, OpenID Connect, SAML, LDAP)
• Proficient in either IT Security, Identity and Access Management or Developer domains
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field
• Hands-on experience in one or more of the following areas: web development (JavaScript, HTML, frontend frameworks), mobile development (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Software developer experience

#LI-TH1

#LI-Hybrid

P24431_3354094

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

Join our team! We’re building a world where Identity belongs to you.

The Auth0 Sales Team

Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As a Public Sector Auth0 AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

Auth0 is an Enterprise-grade IRAP-assessed Customer Identity Access Management system (CIAM) relied upon by many of the region's Government and Highly Regulated agencies to make login seamless, simple and secure.

Public Sector Account Executive, Auth0 

The successful candidate is a highly motivated, self-driven, and senior Public Sector sales executive who is passionate about winning key new logos, about engineering and product technology, and about driving protection against the biggest identity threats.

As an Auth0 Account Executive, you will be working with the most important government agencies delivering digital citizen services, enhancing the experience of liaising with and using government 3.0 services. Auth0 is focused on providing value to Product Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth primarily through net new logo acquisition as well as through cultivating relationships to develop and grow existing Auth0 customers.

What you’ll be doing:

• Build a plan to guide your long-term approach to net new logo pipeline generation
• Consistently deliver revenue targets to support YoY territory growth
• Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
• Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers
• Demonstrable skills in creating compelling artefacts, documents and presentations to convey ideas
• Highly experienced in Executive Stakeholder alignment and running Quarterly Business Reviews
• Scope, negotiate and close agreements to meet and exceed revenue quota targets
• Holistically embrace, access, and utilize partners to identify and open opportunities
• Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc) – with a proven track record of partnering with key SIs and AWS
• Travel as necessary to build and cultivate customer and prospect relationships

What you’ll bring to the role:

• 10+ years success in growing revenue for sophisticated, complex Public Sector and enterprise focused SaaS products
• Ability to evangelize, educate and create demand within Product, Digital and Engineering organizations, with a strong track record of pitching and closing to Product, Engineering, and Architecture decision makers
• Deep technical discovery skills that resonate with the developer community (you must have a strong grasp of product development lifecycle, DevOps, engineering terminology, product management)
• Strong technical acumen with proven ability to connect a technical sale to a company’s business and transformation outcomes
• Impeccable business accumen and outstanding communication and presentation skills with audiences of all levels (both Practitioners and Executives) and all technical aptitudes, with attention to detail
• Prior experience working with and facilitating large transformational Engineering, Product and Digital initiatives
• Confident and self-driven with the humility required to successfully work in teams
• Proven record of out-of-the-box thinking to open up new logos and win transformative opportunities
• Expertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC)
• Consistently high-level energy, rigour and accuracy with forecasting and opportunity hygiene management.

#LI-TH1

#LI-Hybrid

SRC-619

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Staff Robotics Engineers lead the delivery of vehicle perception and planning capability integrated in to our products, acting as technical leads, extremely senior individual contributors, and/or as team leads that are also hands-on contributors. . This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Staff Robotics Engineers to demonstrate unparalleled end-to-end outcome ownership, driving the rapid architecting, design, delivery, support, and evolution of safe and effective vehicle autonomy on Anduril’s autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Own customer success through the design and delivery of a multi-year, multi-stakeholder software roadmap that spans across multiple teams.
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Partner with external teams, collaborating on interfacing requirements between diverse systems and technologies
• Lead teams that architect, design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment.
• Drive the development and implementation of sensor suites, perception algorithms, planning algorithms, and test fixtures to deliver safe navigation and effective operation of Anduril’s autonomous vehicles
• Perform high impact IC work in architecture and implementation across the whole perception and planning stack
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Senior Robotics Engineers independently drive delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Senior Robotics Engineers to demonstrate end-to-end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Design and implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the design and development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Robotics Engineers contribute to delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Robotics Engineers to demonstrate end-to-end ownership of their projects, contributing as a member of a team to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Are you passionate about data strategy, architecture, and empowering businesses with data-driven insights? Do you enjoy designing scalable solutions and guiding organizations through complex data challenges? At InterWorks, we’re looking for a Data Architect who thrives in dynamic environments and is ready to help shape the future of data for our clients.

This role blends the rigor of enterprise data architecture and governance with the energy of consulting and solution-building. You’ll work with clients across industries to build robust data platforms, define standards, and implement governance frameworks that create lasting value.

Please be advised that this role is required to be located in the Melbourne, Australia InterWorks office. Remote work or telecommuting arrangements outside of this jurisdiction are not permissible for this position.

Salary range commensurate with experience and qualifications.

What You’ll Do

• Architect and implement enterprise-level data solutions that align with business goals and compliance requirements.
• Design and optimize data models, storage solutions, and integration pipelines across various platforms (Snowflake, Databricks, etc.).
• Partner directly with clients to develop scalable data platforms, data governance frameworks, and analytics strategies.
• Create and oversee ETL/ELT processes and advise on best practices for data quality, security, and accessibility.
• Serve as a strategic liaison between business and IT to bridge gaps and ensure alignment.
• Manage project timelines, expectations, and deliverables with clear communication and strong stakeholder engagement.

What You’ll Need

Must-Haves

• 5+ years of experience in data architecture, data engineering, or a related field
• High proficiency in SQL and strong data modeling skills
• Experience in data governance, compliance standards, and enterprise data strategy
• Excellent communication skills—written, verbal, and interpersonal
• Ability to thrive in client-facing environments and lead cross-functional teams
• Adaptability and problem-solving mindset in fast-paced and ambiguous situations
• Proven experience with data lakehouse architecture including the storage and processing of semi-structured and unstructured file types
• Proven support for data science initiatives
• Understanding of pipeline and cost monitoring and optimisation
• Comfortable leading business engagements to source requirements or refine data models
• Experience with Azure & AWS CSP's preferable

 What We’d Like You to Have

• Experience with BI and visualization tools (e.g., Tableau, Power BI)
• Familiarity with modern data warehouses and cloud platforms (e.g., Snowflake, Databricks)
• ETL tool experience (e.g., dbt, Matillion, Informatica, Fivetran)
• Knowledge of AI/ML concepts and their role in data platforms
• Degree in Computer Science, IT, or a related field (preferred)

What We Offer:

• Health Benefits: Our people are our most important asset. That's why we offer an exceptional health insurance subsidy through BUPA, ensuring you and your family are well taken care of.
• Wellness Benefits: We want you to stay healthy! Our employees receive an annual allowance to spend on their favourite gym memberships, sports activities, or workout apps.
• Work-Life Balance: We offer a life balance allowance, encouraging our employees to relax and recharge — whether with family or going solo.
• Tech Choice: Windows or Mac? 13-inch or 15-inch? Lightweight or heavy-duty? You know what works best for you. Our employees have a wide choice of equipment, plus a contribution towards standing desk equipment.
• Professional Growth: We invest in our people. You'll have access to ongoing training, certifications, and professional development opportunities to keep your skills sharp and your career moving forward.
• Community Impact: We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues' individual charitable passions with dedicated time off for volunteering.
• Superannuation: Compulsory superannuation contributions are paid on top of your base salary in accordance with Australian legislation.

Are you passionate about data strategy, architecture, and empowering businesses with data-driven insights? Do you enjoy designing scalable solutions and guiding organizations through complex data challenges? At InterWorks, we’re looking for a Data Architect who thrives in dynamic environments and is ready to help shape the future of data for our clients.

This role blends the rigor of enterprise data architecture and governance with the energy of consulting and solution-building. You’ll work with clients across industries to build robust data platforms, define standards, and implement governance frameworks that create lasting value.

Please be advised that this role is required to be located in the Melbourne, Australia InterWorks office. Remote work or telecommuting arrangements outside of this jurisdiction are not permissible for this position.

Salary range commensurate with experience and qualifications.

What You’ll Do

• Architect and implement enterprise-level data solutions that align with business goals and compliance requirements.
• Design and optimize data models, storage solutions, and integration pipelines across various platforms (Snowflake, Databricks, etc.).
• Partner directly with clients to develop scalable data platforms, data governance frameworks, and analytics strategies.
• Create and oversee ETL/ELT processes and advise on best practices for data quality, security, and accessibility.
• Serve as a strategic liaison between business and IT to bridge gaps and ensure alignment.
• Manage project timelines, expectations, and deliverables with clear communication and strong stakeholder engagement.

What You’ll Need

Must-Haves

• 5+ years of experience in data architecture, data engineering, or a related field
• High proficiency in SQL and strong data modeling skills
• Experience in data governance, compliance standards, and enterprise data strategy
• Excellent communication skills—written, verbal, and interpersonal
• Ability to thrive in client-facing environments and lead cross-functional teams
• Adaptability and problem-solving mindset in fast-paced and ambiguous situations
• Proven experience with data lakehouse architecture including the storage and processing of semi-structured and unstructured file types
• Proven support for data science initiatives
• Understanding of pipeline and cost monitoring and optimisation
• Comfortable leading business engagements to source requirements or refine data models
• Experience with Azure & AWS CSP's preferable

 What We’d Like You to Have

• Experience with BI and visualization tools (e.g., Tableau, Power BI)
• Familiarity with modern data warehouses and cloud platforms (e.g., Snowflake, Databricks)
• ETL tool experience (e.g., dbt, Matillion, Informatica, Fivetran)
• Knowledge of AI/ML concepts and their role in data platforms
• Degree in Computer Science, IT, or a related field (preferred)

What We Offer:

• Health Benefits: Our people are our most important asset. That's why we offer an exceptional health insurance subsidy through BUPA, ensuring you and your family are well taken care of.
• Wellness Benefits: We want you to stay healthy! Our employees receive an annual allowance to spend on their favourite gym memberships, sports activities, or workout apps.
• Work-Life Balance: We offer a life balance allowance, encouraging our employees to relax and recharge — whether with family or going solo.
• Tech Choice: Windows or Mac? 13-inch or 15-inch? Lightweight or heavy-duty? You know what works best for you. Our employees have a wide choice of equipment, plus a contribution towards standing desk equipment.
• Professional Growth: We invest in our people. You'll have access to ongoing training, certifications, and professional development opportunities to keep your skills sharp and your career moving forward.
• Community Impact: We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues' individual charitable passions with dedicated time off for volunteering.
• Superannuation: Compulsory superannuation contributions are paid on top of your base salary in accordance with Australian legislation.

Strategic Account Executive 

Location: Melbourne or Sydney, Remote

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

Drive Enterprise Transformation

Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.

Own the Full Sales Cycle

Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.

Solution Architecture

Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.

Account Expansion

Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.

Go-to-Market Partnership

Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies

Proven track record closing $1M+ ACV deals in early-stage environments

Experience selling complex technical solutions to CIO organizations

Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting

Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch

Success in highly regulated industries with complex compliance requirements

Nice-to-Have Skills:

Regulated industry experience, early-stage success

Why Join Us 

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here

Ready to Build the Future?

If this opportunity excites you, apply now!

Passionate about building and deploying Machine Learning pipelines at scale to drive business value? Join our growing Data Science Team as our first Senior Machine Learning Operations (MLOps) Engineer!

What's in it for you?

As a Senior MLOps Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation.

Your role with us:

In your role with us, you will enhance our machine learning operations (MLOps), delivering: robust, scalable AWS cloud infrastructure and automation solutions, that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users.

Who are we?

At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry, including Stake.com, Kick.com and Twist Gaming. 

Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience.

Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide.

All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. 

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies.

Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 700+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.

Click play, on your career today!

What you will do:

• Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring.
• Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform. 
• Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery.
• Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance.
• Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts.
• Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure.

What you will bring: 

Essential experience

• 5+ years of experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Expert proficiency in cloud infrastructure management using Terraform.
• Deep hands-on experience with major cloud platforms (AWS, Azure or GCP).
• Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads.
• Proficiency with containerisation technologies (Docker, Kubernetes).
• Advanced proficiency in Python and scripting for infrastructure automation.

Bonus points if you also have:

• Experience within iGaming.
• Experience working with large volumes of data, preferably at petabyte-scale.
• Extensive experience with distributed computing and big data technologies (e.g. Spark, Hadoop).
• Familiarity with monitoring and observability platforms.
• Knowledge of data security, governance, and compliance practices relevant to ML operations.

Some of the perks of joining us:

• Access to over 9,000 courses across our Learning and Development Platform.
• EAP access for you and your family.
• Be rewarded with lucrative annual bonuses.
• Give back with a paid volunteer day.
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
• Break up the week with on site remedial massage Wednesdays.
• In house full-time barista’s providing you your daily coffee needs.
• Weekly team lunches and happy hour in the office from 4pm on Fridays.
• Enjoy a bustling office with the option for up to 2 days work from home per week.
• Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Passionate about unearthing and driving complex data science solutions across huge amounts of data to drive business value? Join our growing Data Science Team!

What's in it for you?

As a Senior Data Scientist, you will play a pivotal role in driving all stages of our data science projects including: ideation, scoping, development, deployment and monitoring. Working closely with business stakeholders and leadership, you will get to work on our global platforms to architect and implement scalable solutions that will impact millions of users worldwide.

Your role with us:

In your role with us, you will drive and technically lead complex machine learning and AI initiatives across our global platform, architecting and implementing scalable solutions that handle petabyte-scale data and impact millions of users worldwide. The role involves providing technical leadership, mentoring junior team members, and working closely with stakeholders to deliver high-impact data science solutions that drive business value.

Who are we?

At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry, including Stake.com, Kick.com and Twist Gaming. 

Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience.

Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide.

All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. 

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies.

Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 700+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.

Click play, on your career today!

What you will do:

• Technically lead the end-to-end machine learning solutions. Design, develop, and deploy comprehensive machine learning models from ideation and data collection to deployment and ongoing monitoring.
• Drive the technical strategy and architecture decisions for large-scale data science projects
• Apply statistical analysis and machine learning techniques to solve key business problems across various domains.
• Design and implement robust monitoring systems for production ML models.
• Partner with stakeholders to understand needs and communicate complex data science concepts, progress, and results to both technical and non-technical audiences.
• Mentor and provide technical guidance to junior data scientists.

What you will bring: 

• 5+ years of hands-on data science experience in industry.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.
• Expert-level programming skills in the Python ecosystem (numpy, pandas, scikit-learn).
• Advanced proficiency in SQL.
• Demonstrated expertise in machine learning algorithms and their practical applications.
• Proven experience in designing and deploying production ML systems.
• Experience with cloud platforms and distributed computing.
• Track record of successfully delivering end-to-end ML projects.

Bonus points if you also have:

• Master's or PhD in relevant quantitative discipline.
• Deep expertise in AWS cloud services and ML deployment pipelines.
• Extensive experience with big data technologies and distributed computing frameworks.
• Specialized expertise in one or more areas: NLP, Computer Vision, Recommender Systems
• Experience with deep learning frameworks, particularly PyTorch.
• Experience leading technical teams or mentoring junior data scientists.
• Experience with ML systems design for high-scale, real-time applications.

Some of the perks of joining us:

• Access to over 9,000 courses across our Learning and Development Platform.
• EAP access for you and your family.
• Be rewarded with lucrative annual bonuses.
• Give back with a paid volunteer day.
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
• Break up the week with on site remedial massage Wednesdays.
• In house full-time barista’s providing you your daily coffee needs.
• Weekly team lunches and happy hour in the office from 4pm on Fridays.
• Enjoy a bustling office with the option for up to 2 days work from home per week.
• Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

How you can help make a better world of work

We're looking for an Engineer to join the AI Research & Experience team, helping build critical components for AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale.

You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. 

What you'll do

• Staying up to date with current research, literature and provider offerings. 
• Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.
• Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
• Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice.
• Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology.
• Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
• Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning.

What we're looking for

Must Haves:

• Proven commercial experience taking ML/AI systems to production.
• Strong technical writer and communicator
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code. 
• You leverage Software development AI tooling effectively.
• Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
• You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability.

Desirable:

• Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
• A pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"

Strong signals:

• Experience at startups or founding teams - comfortable with ambiguity and fast iteration
• Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
• Evidence of taking cutting-edge (relevant) techniques from paper to production
• Experience with evaluation/benchmarking frameworks for AI systems
• Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities
• Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j)

Bonus:

• Familiarity with people analytics, HR tech, or behavioural science applications
• Contributions to data ethics, algorithmic fairness, or responsible AI initiatives
• Open source contributions or public technical writing

How you can help make a better world of work

We're looking for an Engineer to join the AI Research & Experience team, helping build critical components for AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale.

You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. 

What you'll do

• Staying up to date with current research, literature and provider offerings. 
• Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.
• Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
• Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice.
• Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology.
• Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
• Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning.

What we're looking for

Must Haves:

• Proven commercial experience taking ML/AI systems to production.
• Strong technical writer and communicator
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code. 
• You leverage Software development AI tooling effectively.
• Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
• You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability.

Desirable:

• Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
• A pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"

Strong signals:

• Experience at startups or founding teams - comfortable with ambiguity and fast iteration
• Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
• Evidence of taking cutting-edge (relevant) techniques from paper to production
• Experience with evaluation/benchmarking frameworks for AI systems
• Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities
• Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j)

Bonus:

• Familiarity with people analytics, HR tech, or behavioural science applications
• Contributions to data ethics, algorithmic fairness, or responsible AI initiatives
• Open source contributions or public technical writing

How you can help make a better world of work

We're looking for a Senior Engineer to join the AI Research & Experience team, helping build AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale.

You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. 

What you'll do

• Staying up to date with current research, literature and provider offerings. 
• Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.
• Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
• Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice.
• Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology.
• Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
• Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning.

What we're looking for

Must Haves:

• Proven commercial experience taking ML/AI systems to production.
• Strong technical writer and communicator
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code. 
• You leverage Software development AI tooling effectively.
• Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
• Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
• A pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"
• You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability. 

Strong signals:

• Experience at startups or founding teams - comfortable with ambiguity and fast iteration
• Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
• Evidence of taking cutting-edge (relevant) techniques from paper to production
• Experience with evaluation/benchmarking frameworks for AI systems
• Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities
• Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j)

Bonus:

• Familiarity with people analytics, HR tech, or behavioral science applications
• Contributions to data ethics, algorithmic fairness, or responsible AI initiatives
• Open source contributions or public technical writing

Why join AIRX

You'll work at scale on hard problems that matter - building AI that helps organizations develop their people, improve feedback culture, and foster the conditions for sustainable high performance. Our approach is deeply informed by Culture Amp's people science research. You'll be surrounded by talented and passionate advocates for humanity and cutting edge AI in the world of work.

How you can help make a better world of work

We're looking for a Senior Engineer to join the AI Research & Experience team, helping build AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale.

You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. 

What you'll do

• Staying up to date with current research, literature and provider offerings. 
• Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.
• Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
• Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice.
• Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology.
• Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
• Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning.

What we're looking for

Must Haves:

• Proven commercial experience taking ML/AI systems to production.
• Strong technical writer and communicator
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code. 
• You leverage Software development AI tooling effectively.
• Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
• Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
• A pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"
• You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability. 

Strong signals:

• Experience at startups or founding teams - comfortable with ambiguity and fast iteration
• Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
• Evidence of taking cutting-edge (relevant) techniques from paper to production
• Experience with evaluation/benchmarking frameworks for AI systems
• Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities
• Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j)

Bonus:

• Familiarity with people analytics, HR tech, or behavioral science applications
• Contributions to data ethics, algorithmic fairness, or responsible AI initiatives
• Open source contributions or public technical writing

Why join AIRX

You'll work at scale on hard problems that matter - building AI that helps organizations develop their people, improve feedback culture, and foster the conditions for sustainable high performance. Our approach is deeply informed by Culture Amp's people science research. You'll be surrounded by talented and passionate advocates for humanity and cutting edge AI in the world of work.

About the role:

Responsibilities: 

• Own the sales experience while building and managing relationships with key decision-makers and executives 
• Run complex sales cycles from initial contact to close
• Prospect for new clients, design product presentations and business cases, develop and deliver proposals, negotiate and close contracts
• Develop a command of the Cresta product, the Contact Center market, our unique competitive differentiators, and our customers’ needs
• Partner closely with Product, Marketing, Customer Success and Engineering to deliver an exceptional customer experience
• Hit your number

Qualifications We Value:

• 7+ years of SaaS software sales experience at an enterprise level 
• Experience negotiating, structuring and executing complex enterprise-level agreements
• Prior experience leading cross-functional teams through large deal close processes
• Ability to articulate contractual, technical, and financial value points to customers, including executives
• Excellent communication and presentation skills with experience presenting to C-level executives
• Ability to travel up to 25%

Perks & Benefits: 

• We offer Cresta employees a variety of medical benefits designed to fit your stage of life
• Flexible vacation time to promote a healthy work-life blend
• Paid parental leave to support you and your family

Compensation: 

Compensation for this position includes a base salary, variable (OTE), equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in Australia, and offer competitive local pay and benefits. Your recruiter can provide further details.

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

About the role:

Responsibilities: 

• Qualify new sales opportunities by understanding customer requirements and converting it to Cresta technical requirements
• Partner with the Sales Directors to discover and understand the prospect's situation and the challenges that they are experiencing
• Lead discovery calls with prospective customers  & internal cross functional teams to build and deliver product demos. Solving problems for potential customers and demonstrating the value of Cresta product
• Provide your prospects with insights and learnings from your vast experience in helping customers improve their contact center and customer experience operations
• Drive adoption during proof of values by training individual managers and users on the Cresta solution
• Translate prospect use cases into brilliant technical solutions and demonstrate the path to ROI
• Deliver captivating product demos highlighting value propositions to get prospects excited about how Cresta will help them reach their goals
• Run ROI workshops to translate our solution into a financial business case proposal
• Provide feedback to product management about the successes and failures in the field

Qualifications We Value:

• 7+ years of experience in a customer facing role, and 1-3 years of experience in a technical pre-sales role selling to large enterprises
• Hands on experience of working with Conversational AI
• Highly organized
• Impeccable work ethic
• Desire to practice and prepare your presentation (or demo) meticulously, as you always strive for perfection
• Energy, enthusiasm and thoughtfulness in everything you doLearn new technology quickly and find it easy to explain technological solutions in terms of business value
• Natural problem-solver and extremely resourceful - garnering support from other people or teams in order to drive opportunities to closure
• Knowledge of Salesforce.com, contact center technologies a plus
• You embody our core Operating Principles

Perks & Benefits: 

• We offer Cresta employees a variety of medical benefits designed to fit your stage of life
• Flexible vacation time to promote a healthy work-life blend
• Paid parental leave to support you and your family

Compensation: 

Compensation for this position includes a base salary, variable (OTE), equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in Australia, and offer competitive local pay and benefits. Your recruiter can provide further details.

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

Position Purpose: To be part of an existing team to create, maintain, support and improve upon existing internal production applications to speed up delivery of products to our customers. This will also include the implementation of new business rules and functionality the business deems required.

Key Responsibilities: 

• Develop technical solutions that help achieve business and customer goals. Be able to provide clear feedback to technical and project teams upon encountering technological limitations.
• Be part of the ongoing development and support of any new solutions, as well as existing legacy production processing systems to agreed estimates and schedules.
• A demonstrated focus on continuous improvement and process optimisation of new and existing systems.
• Work with project management to assist in work breakdowns and estimates as required.
• Ensure documentation is created and maintained with a view to enabling ongoing development support (and where possible improvement) as well as handing over ongoing processing to the existing production team.
• Ensure ongoing code quality, data quality checking, error reporting and correction occurs.

Essential Subject Skills and Experience:

• 2+ years of E2E In-depth Databricks experience on a real project(s) that have gone to production
• Databricks Genie, AI/BI Dashboards and Analytics reporting.
• Databricks pipelines, warehouse, jobs.
• Databricks Platform set up and admin, cost reduction.
• Databricks ELT, CDC, Streaming - general ETL and ELT and ETL/ELT scaling. Databricks Ingestion tools, e.g., SQL Server Connect
• Development of Databricks applications, ‘App’ and ‘One’ experience.
• Strong experience with Delta Lake, Lakehouse and Medallion architectures, Data architecture
• Meta data catalogs and data governance - Databricks Unity catalog.
• Strong data modelling/data expertise.
• Understanding of AI and Ml.
• General computing experience, AWS, S3, CI/CD, Git, SDLCs, Agile/Iterative.
• Excellent communication and time management skills
• Strong analytical and problem-solving skills
• Be flexible/adaptable and can embrace change

Desirable Skills and Experience:

• DB/Spark performance and optimization.
• Strong Apache Spark and pyspark - created Spark clusters, Spark (and Kafka) Streaming, Data pipelines/orchestration.
• Strong Python and Dash development experience.
• Advance SQL, with materialized views, Common Table Expressions.
• Statistics, Machine Learning, data mining, Experimental design.
• MLFlow, AI training/testing/evaluation and its orchestration.
• GenAI, LLMs, Prompt Engineering, RAG, Fine Tuning, Agents.
• AI ways of working, e.g. CRISP-DM, TDSP etc.

Overview:

We are seeking a highly skilled Solutions Architect to lead the design and optimization of our product’s architecture. In this role, you will serve as the key architect for data solutions, overseeing the integration of advanced technologies while mentoring junior team members and collaborating with cross-functional teams.

Key Responsibilities:

• Responsible for building end-to-end solution design for products and applications.
• Partnering with business, engineering and product stakeholders to determine system requirements and designing fit-for-purpose solutions
• Be a key contributor to the Architecture peer group supporting with their strategy and roadmap
• Design solutions for new initiatives/enhancements with a focus on simplicity and operational integration.
• Review, assessment and governance of application/product solution designs for conformance to architecture principles throughout the project lifecycle.
• Diagnose and solve architecture problems and issues that may arise.
• Act autonomously in dealing with identified issues or deviance from standards.
• Support the adoption of target-state architecture by executing on the strategy for enterprise and digital platforms and systems.
• Alignment to architecture standards and principles to ensure solution decisions are made consistently across the enterprise and in the context of target architectures.
• Improve application/product performance through enterprise solutions and capabilities, Application data security and access control designs

Required Qualifications:

• Bachelor or Master degree in Computer Science, Information Technology, Data Science, or a related field.
• 10+ years of experience in software architecture, data lake and database design, and data modelling, with at least 5+ years in a senior or lead role.
• Expertise in enterprise-scale data platform and technology – Databricks, DLT, Spark, Python and non-relational databases - MongoDB.
• Deep knowledge of cloud-based architectures.
• Proven expertise in data governance, security frameworks, and compliance standards (e.g., GDPR).
• Exceptional analytical, problem-solving, and decision-making skills, with a focus on driving business outcomes through software architecture.
• Ability to communicate complex technical concepts effectively to executive leadership and cross-functional teams.

Preferred Qualifications:

• Experience in artificial intelligence (AI) or machine learning (ML) data architectures.
• Advanced knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines for data operations.
• Strong programming skills in Java, Python or Scala, particularly for data manipulation and processing.
• Strong experience in designing and managing data lakes, data warehouses, and real-time streaming systems (e.g., Spark, Databricks).
• Excellent understanding of ETL/ELT processes, data integration, and data transformation tools.
• Experience in working with big data technologies and delivering large-scale data platforms.
• Certification in cloud architecture (e.g., AWS Certified Solutions Architect).

Position Purpose:

• Serve as a Junior Full Stack Developer responsible for designing and delivering high-quality features
• Operate in a hands-on development role
• Take end-to-end ownership of feature technical design across the full stack

Key Responsibilities:

• Design and develop product software features using appropriate modelling techniques, adhering to agreed design standards, patterns, and methodologies. Balance complexity, business requirements, cost, and timelines to achieve optimal outcomes for customers and the business.
• Apply agreed development standards, tools, and best practices to deliver robust, scalable, and maintainable software solutions.

Essential Skills and Experience:

• Demonstrated knowledge in software design patterns and coding best practices, with the ability to apply them effectively in real-world scenarios.
• Good experience in SaaS-based full stack development, with proficiency in Java and modern JavaScript frameworks.
• AI Assisted Development – use of tools like GitHub Copilot to write, review and debug code.
• Basic Prompt Engineering
• Understanding of AI/ML concepts
• Hands-on experience with Spring (or similar backend frameworks).
• Experience working with frontend frameworks such as Angular or React.
• Exposure to Cloud-based infrastructure and container-based runtime environments.
• Understanding of CI/CD principles and experience with tools such as GitHub, CircleCI, CodePipeline, or Bamboo.
• Strong problem-solving and good system design capabilities.
• Excellent communication skills

Desirable Skills and Experience:

• Experience with NoSQL/Document/Vector databases
• Performance optimizations with data caching and related designs
• Application monitoring with CloudWatch, New Relic
• RAG fundamentals and AI tool workflow

Qualifications:

• Bachelor of Computer Science degree or equivalent academic qualification

CSQ227R47

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• 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 AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets