About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.

About This Role

This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.

Ideally, you’d have:

• Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.

• A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).

• At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.

• Strong written and verbal communication skills, along with the ability to work effectively across teams.

Nice to have:

• Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.

• Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.

• Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.

• Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.

• Proficiency in cloud-based ML development, with experience in AWS or GCP environments.

Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About the ACE team 

The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. 

About This Role

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

Ideally you’d have: 

• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally. 

Nice to have:

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. 
• Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH 
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.

About the General Agents Team

The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers.

About the Role

As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

You will:

• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.

Ideally you’d have:

• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves:

• Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
• Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
• Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
• Experience deploying ML systems in cloud environments and operating them at scale.
• Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
• Interest in shaping the future of general-purpose enterprise agents and their real-world impact.

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideally you’d have:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. 
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to haves:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

____________________________________________________________________________________ 

Job Summary: 

We are seeking a Senior Technical Director, Advanced Mission Critical Electronics to define and lead the development of our next-generation computing, sensing, and communications architectures.

This role requires a leader who challenges the status quo of "traditional space." We are looking for an expert who champions the adoption of modern, commercially derived electronics (COTS) for spaceborne applications over legacy "rad-hard by design" practices. You will drive the development of systems that span defense and commercial applications across all domains—from surface to airborne—with a specific, intense focus on spaceborne applications at all orbits (LEO, MEO, GEO, and cislunar).

You will be joining the Advanced Technology Development team, a specialized unit within our Strategic Growth and Technology Organization. This team is responsible for defining and developing Voyager's future technologies, with a relentless focus on high-impact, high-ROI technology and product research and development. Our technology portfolio spans the totality of Voyager's capabilities and beyond—we are tasked with creating both leap-ahead capabilities in existing technology areas and strategically moving into and developing foundational technology in new, uncharted areas.

Responsibilities:  

• Define Electronics Strategy: Create the technical roadmap for Voyager’s mission-critical electronics portfolio, covering high-performance edge computing, software-defined radios, and advanced sensor suites.
• Architect for Space: Lead the transition from traditional, expensive, low-performance rad-hard components to resilient architectures that utilize modern automotive and industrial-grade silicon. You will define hybrid hardware/software fault tolerance architectures, leveraging a mix of circuit-level protections (latch-up limiting, ECC) and software-defined mitigation (scrubbing, checkpointing, algorithmic redundancy) to enable state-of-the-art performance in orbit.
• Cross-Domain Integration: Ensure that electronic subsystems are designed for modularity and scalability, capable of being deployed on a ground vehicle, a high-altitude drone, or a satellite with minimal redesign.
• Lead Hardware/Software Convergence: Bridge the gap between electrical engineering and software teams to co-design for reliability. You will ensure that hardware is designed "software-first," enabling rapid updates, modern CI/CD workflows, and intelligent software recovery layers that can handle hardware upsets transparently.
• Technical Execution: Oversee the full lifecycle of electronics development, from schematic capture and PCB layout reviews to thermal analysis, radiation testing, and final flight qualification.

Required Qualifications:  

• Bachelor's Degree in Electrical Engineering, Computer Engineering, or Physics.
• Must be eligible to obtain and maintain a US Government clearance (requires US citizenship)
• Electronics Leadership: 10+ years of experience leading the development of complex electronics hardware, including high-speed digital design, FPGA/SoC integration, and power systems.
• Spaceborne Architecture: Prior experience designing rad-hard and rad-tolerant systems. You understand the specific challenges of the space environment (TID, SEE, thermal vacuum) and how to mitigate them using system architecture rather than just component selection.
• Combined HW/SW Fault Tolerance: Deep expertise in architecting high-reliability systems using commercial silicon. You demonstrate a mastery of trading off hardware complexity (Triple Modular Redundancy, hardware watchdogs) against software overhead (voting logic, health monitoring, error correction) to achieve mission assurance.
• Modern "New Space" Philosophy: Experience leveraging commercial off-the-shelf (COTS) components for high-reliability applications. You have a history of balancing risk, cost, and performance to deliver capabilities that legacy systems cannot match.
• Software Development Literate: Practical experience in modern full-stack software development and associated tools. You are comfortable reviewing code and utilizing modern workflows, including:
• Full Lifecycle Experience: Proven track record of taking complex electronics from concept through prototyping, qualification testing, and volume production.

Preferred Qualifications:  

• Master’s or PhD in Electrical Engineering, Computer Engineering, or Physics.
• Prior experience building and fielding electronics for modern commercial spacecraft (e.g., mega-constellations or high-performance smallsats).
• Active U.S. Top Secret Security Clearance.
• Experience productizing advanced R&D into monetizable commercial motions.
• Willingness to travel up to 25% to testing facilities and launch sites.

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence. 

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

Title: Psychiatric Nurse Practitioner or Physician Assistant 

Reports to: Executive Director 

Location: 100% onsite in Everett, WA.  We have a facility opening up this summer in Federal Way and candidates who are able and willing to cover both locations are strongly preferred.     

FLSA Status: Non-Exempt   

Schedule: This is a part-time, 1099 position with approximately 9 hours to start, ideally Monday / Wednesday / Friday from 9:00 - 12:00.  There will also be one hour of rounds and one hour of direct supervision with a psychiatrist each week outside of clinical hours.  Schedules are expected to increase and transition to W2 employment status as the program continues to grow. 

Minimum Experience: Candidates must have at least one year of experience in a prescribing role. 

Role Summary:  

The Psychiatric Nurse Practitioner or Physician Assistant will provide psychiatric evaluations, diagnosis, medication management, and therapeutic support to individuals enrolled in our PHP and IOP programs. You will collaborate with other clinicians, including psychiatrists, therapists, to provide a holistic approach to patient care.  

Role Responsibilities: 

• Conduct psychiatric evaluations, including intake assessments, for patients in the PHP/IOP programs.  

• Develop and implement individualized treatment plans based on psychiatric assessment findings.  

• Prescribe and manage psychiatric medications, monitoring for effectiveness and side effects.  

• Provide ongoing medication management and adjust treatment plans as needed.  

• Work closely with therapists, social workers, and other team members to coordinate care for patients.  

• Provide crisis intervention and support when needed, particularly in a PHP/IOP setting.  

• Participate in clinical team meetings, case reviews, and treatment planning discussions.  

• Document all patient interactions and treatment in accordance with agency policies and regulatory requirements.  

• Educate patients and their families about mental health conditions, treatment options, and medication management.  

• Ensure compliance with all legal and ethical standards for the delivery of psychiatric services.  

• Maintain up-to-date knowledge of evidence-based practices and advancements in psychiatric care.  

Required Qualifications: 

• Master’s degree in Nursing (MSN) from an accredited program.  

• Board certification as a Psychiatric Mental Health Nurse Practitioner (PMHNP-BC) or Physician Assistant. 

• Current, unrestricted state licensure as a Psychiatric Nurse Practitioner or Physician Assistant.  
• Minimum one year of experience prescribing medication. 

• Strong knowledge of mental health diagnoses, psychiatric medications, and treatment modalities.  

• Excellent communication skills, with the ability to work collaboratively in a team-based environment.  

• Ability to work with diverse populations and demonstrate cultural competence.  

• Strong organizational skills and attention to detail.  

• Compassionate, empathetic, and patient-focused approach to care.  

• Ability to manage complex cases and respond effectively to crisis situations.  
• If eligible based on licensure status and applicable state regulations, must be willing to provide formal clinical supervision to associate-level clinicians as part of Guidelight’s supervision program. This includes actively supporting the development of associate licensed professionals in accordance with organizational standards and state-specific supervisory requirements.

• A winning mentality!  

Preferred Qualifications:  

• Experience in a behavioral health setting, including PHP and/or IOP.

*Please do not contact our public clinical admissions line regarding this or any other job posting. For recruiting-related inquiries, please contact the Talent team at Talent@guidelighthealth.com

Guidelight is an Equal Opportunity Employer. We are passionate about fostering an environment where everyone, irrespective of their race, gender, sexual orientation, or background, feels valued and included. 

We want to be a place where every employee has a voice and feels truly welcome, appreciated, free to be themselves, and empowered and enabled to do their best work. Our differences make us unique, and we actively support these differences and work to create communities of respect throughout our company. www.guidelighthealth.com  

THE OPPORTUNITY

Senior Art Director

Could this be you? 

This job opportunity requires a hybrid of skillsets.  

At its core, is the need for a high-level of ideation skills...both in creation & curation of the work...and all the assumed bona fides of an Art Director with Senior-Level experience of at least 8 years.  

Northwest Dealer Retail marketing is the job.  It’s fast-paced.  Exciting.  And seeks to disrupt the existing landscape with innovative messaging, tactics & strategies to compliment the Ford products advertised.  

The work is regional in scale with attention to usage across all established channels.  In addition to General Market English audiences, work is also created for multi-cultural audiences, with specific targeted emphasis on The Hispanic Market.  

Marketing efforts center around core vehicle products leveraging their distinct consumer benefits in Single vehicle Product advertising, Regional Sales Events, Professional Sports Sponsorships, and specialty initiatives.  All work is guided by the ability to customize content with specific consumer analytics from the proprietary GTB data platform of Precision Marketing.

We’re looking for a passionate Creative Ideator/Art Director...a persuasive and charismatic communicator...and a tireless seeker of inspired creativity that motivates action.

In this role you will…

• Ideate, curate and art direct all needed work.  
• Present work internally and possibly, to Dealer clients.  
• Perform all duties assumed in The Senior Role.
• Juggle multiple projects at once and meet deadlines.
• Work across Agency lines along with Production, and other Creative entities.

 You have…

• 7-8 years agency experience, with a proven track record in leading & managing.
• Experience with leveraging precise consumer analytics in fresh, rewarding executions [assumes understanding of consumer segmentation, and how it impacts the end-product].
• A strong working knowledge of live & post-production plus, Digital & Social.  
• An understanding of emerging AI and its uses from a creative perspective.
• Ability to partner with all Agency, inter-departmental teams.
• Have physical and mental requirements to meet the above listed job responsibilities.
• Bachelor’s degree or equivalent experience preferred.

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease.  A Japan-based company, our goal is to make people smile by delivering breakthroughs where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, Massachusetts, and Ontario.

Ideal candidates would like near a major airport. 

Northwest –

• Coverage: WA, OR, ID, MT, WY, CO, UT, AK, part of CA
• Ideal locations to reside: San Francisco, Seattle, Portland, Denver

Job Summary:

The Field Reimbursement Manager is a regionally field based position that provides reimbursement and access support for patients who have been prescribed a rare disease product.  Reporting to the Director, Patient Access Solutions, he/she will work closely with physicians, nurses, pharmacists, and ancillary staff, as well as patients and caregivers of patients to prevent and address barriers to patient access and reimbursement. Also, this candidate will align with Kyowa Kirin’s Commercial and Patient Services Team(s), to ensure that the team is collaborating on behalf of patients, their care teams, and other therapy partners to ensure access to uninterrupted therapy and support throughout the patient treatment journey.

Essential Functions:

• Provide coordination of care to patients and their caregivers accessing a rare disease product by working with Healthcare Providers to ensure access
• In person meetings with patients, healthcare providers, and/or other office staff to discuss and educate on product specific coverage and reimbursement, alternative insurance and coverage options, and relevant information to aid in the continued access of a rare disease product.
• Assist with and provide information and education regarding general reimbursement and process related information and assistance to help HCPs obtain reimbursement for their patients
• Ensure that all patients and providers are well educated and informed throughout the treatment journey to ensure and maintain treatment schedule as prescribed by their provider
• Subject matter expert on relevant reimbursement topics related to rare disease therapy
• Billing, reimbursement, and procurement options expert
• Able to provide support to help troubleshoot billing and coverage hurdles with office staff
• Provide ongoing support and input to Kyowa Kirin’s Patient Services, Marketing, Market Access, Sales, Legal/Compliance, and Medical team partners as needed in order to provide on-going support
• Liaison with Kyowa Kirin’s Commercial team’s internal and external stakeholders 
• Attend meetings and represent Kyowa Kirin at industry conferences as needed
• Attendance at company sponsored and external customer meetings when requested
• Expertise in regionally based plan/policy as well as nationally and government funded plans
• Understanding of company based and external alternative co-pay and financial support programs, 501c3 and other advocacy groups

Job Requirements: 

Education

Bachelor’s Degree or equivalent experience required

Experience

A minimum of 5+ years of experience in a Market Access and/or Patient Services role, with extensive prior knowledge in patient access and reimbursement required

Technical Skills

Proficient in MS Office Suite

Non-Technical Skills

• 3+ years informal leadership experience in biotech/pharmaceutical industry required, product launch experience a plus
• Rare Disease and Specialty products experience preferred
• Highly Patient Focused
• Exceptional enthusiasm with a drive to succeed
• Demonstrated track record of professional growth
• Ability to strategically think and tactically execute on patient and departmental objectives
• Ability to collaborate, educate and lead peers all while working cohesively within a team environment, both office and field based
• Ability to assist with providing information regarding complex reimbursement and processes to patients and their medical professionals
• Remain professional during interactions with all patients, families, and other medical professionals
• Excellent organizational, written, listening, and communication skills a must
• Excellent time management skills, both team and individually
• Ability to influence others without authority
• Understanding of specialty channel patient-level data
• Quick learner and ability to adapt to change  

Physical Demands:

Field based/Normal office environment with prolonged sitting and extensive computer work

Working Conditions:

Requires up to 80% domestic and international travel

KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions

It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law.

When you apply to a job on this site, the personal data contained in your application will be collected and stored by Kyowa Kirin, Inc. (“Controller”), which is located at 135 Route 202/206, Suite 6, Bedminster, NJ 07921 USA and can be contacted by emailing kkus.talentacquisition.8h@kyowakirin.com. Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. 

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. The transfer will be made using appropriate additional safeguards under the standard contractual clauses approved by regulators for transfers of personal data outside the European Union.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment.  Under the GDPR, if you are located in the European Union, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability, and to lodge a complaint with an EU supervisory authority. If you have any questions about our use of your data, you may contact us by email at usprivacyoffice@kyowakirin.com.

Recruitment & Staffing Agencies

Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes.

Annualized base salary ranges from $150,000 – $185,000 plus sales incentive; actual salaries will vary and may be above or below this range commensurate with various factors including but not limited to experience, education, training, and merit. 

This position is eligible for a company car through the Company’s FLEET program.

Kyowa Kirin provides a comprehensive compensation and benefits package which includes:

• Medical, Dental & Vision Insurance, Basic and Voluntary Life and AD&D Insurance, Short- and Long-Term Disability Insurance, Flexible Spending Accounts, and Health Savings Account, Business Travel Insurance, Employee Assistance Programs
• Pet Insurance
• Retirement Savings 401k with company match and annual discretionary profit sharing
• Well-Being and Work-Life Programs Including Gympass, Nutrition Counseling, , Volunteer Time Off, Flexible Work Arrangements, Parental Leave, Adoption Assistance, and TouchCare Insurance & Billing Support
• Generous Paid Time Off, Sick Time, & Paid Holidays
• Perks and Discounts with Tickets at Work and LifeMart
• Reward & Recognition Programs
• Career Development and Training 

#LI-PE1

#LI-Field

WHO WE ARE

Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach is enabling groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Parse has raised over $100 million and our tools are trusted by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.

Headquartered in Seattle, Washington’s vibrant South Lake Union district, Parse Biosciences recently opened a 34,000 square foot headquarters and state-of-the-art laboratory.

THE POSITION

The Marketing Technology Manager will own and evolve Parse Biosciences' marketing technology ecosystem, combining hands-on technical execution with strategic thinking to drive measurable pipeline growth. This is an individual contributor role focused on managing our marketing technology ecosystem, sitting at the intersection of marketing, technology, and data. You'll build automation workflows, integrate AI-powered tools, optimize our web presence, and translate analytics into actionable insights. Reporting to the Director of Digital Marketing and Operations, you'll have a significant impact on how we attract, nurture, and convert leads across the full customer journey.

IN THIS POSITION, YOU WILL:

Marketing Automation & Email

• Design, execute, and optimize marketing automation workflows in HubSpot across email, web, and social channels
• Develop lead nurturing and scoring models that improve conversion rates and sales handoff quality
• Build and maintain segmentation strategies for personalized communications

AI & Technology Integration

• Identify and implement AI-assisted marketing tools
• Extend our marketing stack through API integrations, connecting HubSpot with sales tools, analytics platforms, and third-party applications
• Evaluate emerging marketing technologies and recommend adoption strategies

Web & SEO

• Manage and enhance our WordPress website with a focus on conversion optimization and user experience
• Implement modern web development approaches to improve site performance and functionality
• Execute SEO strategies and develop our AEO (Answer Engine Optimization) approach as search evolves

Analytics & Reporting

• Own centralized reporting dashboards consolidating metrics across all digital channels, both within HubSpot and external tools
• Analyze campaign performance and provide data-driven recommendations to improve marketing ROI
• Track and report on pipeline contribution and marketing-influenced revenue

ABM & Social

• Develop and support account-based marketing programs targeting key accounts
• Help manage social media accounts and integrate social into broader automation strategies

Compliance & Operations

• Ensure all marketing activities comply with GDPR, CCPA, and emerging privacy regulations
• Maintain documentation of marketing technology processes and integrations

FOR THIS POSITION, WE LOOK FOR

• Bachelor’s degree in Marketing, Business, Computer Science, or equivalent industry experience.
• 5+ years of experience in marketing automation with progressive technical responsibility
• Advanced-level proficiency in HubSpot Marketing Hub Enterprise
• Strong WordPress skills and familiarity with modern web technologies
• Demonstrated experience building and maintaining API integrations
• Solid command of SEO principles and emerging AEO tactics
• Proficiency in Google Analytics and experience building custom reporting dashboards
• Understanding of B2B sales pipelines and marketing's role in revenue generation
• Experience with AI-assisted marketing tools and AI coding assistants
• Experience with account-based marketing platforms
• Fluent in HTML, CSS, JavaScript, and web development libraries
• Familiarity with data privacy regulations and compliance requirements

Qualities We Value:

• Self-directed problem solver comfortable with ambiguity
• Curious about emerging technologies and eager to experiment
• Able to translate technical capabilities into business outcomes
• Strong communicator who can work across marketing, sales, and technical teams

JOB CONDITIONS

• This position is home office based and will require a reliable internet connection and a suitable workspace to fulfill job duties effectively. 
• Regular communication and collaboration with team members will occur virtually through Zoom meetings, instant messaging, and email. 
• Travel requirements: This position does require visits to our Seattle HQ one or two times per quarter. Applicable travel expenses will be covered by Parse. 

Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

#LI-Remote

Your Impact

We are seeking a skilled and innovative Senior AI Research Scientist to join a new team focusing on agentic video and multimodal reasoning systems. As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in machine learning and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual and multimodal data.

At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You’ll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

• Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
• Lead end-to-end research efforts in AI-assisted universal search of and reasoning over large multimodal data with an emphasis on video understanding.
• Advance related computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
• Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
• Develop performance and quality metrics for agentic multimodal reasoning models and systems, and validate their effectiveness in real-world settings.
• Stay up-to-date with the latest research and advances in agentic AI, machine learning and computer vision and translate relevant findings into shipping Axon products.
• Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
• Coach and mentor junior scientists.

What You Bring

• PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
• Proven track record of applied research and/or production impact in multimodal learning, video-language modeling, retrieval systems, foundation models, agentic systems, or RAG architectures.
• Experience owning and driving the ML development lifecycle from problem definition and data strategy through model development, evaluation, deployment, and iteration in production environments.
• Experience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge.
• Strong understanding of video analysis and temporal modeling as well as computer vision fundamentals and trade-offs.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 159,750 in the lowest geographic market and USD 234,300 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

#LI-Hybrid

Your Impact

We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data.

At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You’ll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

• Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
• Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
• Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
• Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings.
• Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products.
• Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
• Coach and mentor junior scientists.

What You Bring

• PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields.
• Proven track record of research in machine learning, computer vision or related fields.
• Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale.
• Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
• Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 159,750 in the lowest geographic market and USD 234,300 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

#LI-Hybrid

Your Impact

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?

As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to bring safe, secure, reliable AI features to Axon devices. Collaborating closely with scientists and device engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more). You will also make sure As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Automatic License Plates Recognition to Object Tracking and Automatic Speech Recognition.

The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of a new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling features transforming the life of officers, and driving a positive impact in the public safety space.

What You’ll Do

Location: Hybrid from Seattle, WA
Reports to: Senior Director, AI Platform Engineering
Direct Reports:

• Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
• Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
• Implement on device monitoring solutions used for continuous model improvement
• Implement innovative model compression solutions to enable AI at the edge.
• Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• 10+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
• Experience with AI on chips, on device model deployment and management.
• Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
• Advanced knowledge and hands-on experience with on chips development.
• Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
• Comfort communicating and interacting with scientists, engineers and product managers.

Preferred

• Master’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
• Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

Creative at Headway isn’t just about making things sound good. It’s the strategic engine that shapes how we communicate, build trust, and help people take meaningful steps toward care. Our team of Art Directors, Brand Designers, Writers, Content Leads, and Creative Ops partner closely to deliver work that strengthens the brand while driving real business impact.

As an Associate Creative Director, Copy, you are both a creative leader and a hands-on partner in the work. You’ll help define how Headway sounds across campaigns, growth initiatives, and key brand moments while overseeing our content efforts to ensure clarity, consistency, and craft at scale. This role blends big-idea thinking, people leadership, and day-to-day creative direction, ensuring every word reflects the care, credibility, and humanity at the core of our mission.

What you'll do:

• Lead copy direction across brand and growth campaigns, launches, and key initiatives.
• Shape and steward Headway’s brand voice, tone, and messaging across channels.
• Support our content and editorial team, ensuring alignment with brand standards and creative direction.
• Partner closely with senior creative leaders, Art Directors, and Designers to develop impactful and emotionally resonant ideas.
• Grasp the creative brief for the core insight, and translate marketing and business priorities into clear, compelling creative strategies and executions.
• Guide writers through concepting, iteration, and execution with thoughtful, actionable feedback.
• Act as a brand steward, collaborating with cross-functional partners to maintain clarity and consistency.
• Mentor and develop writers and creatives, fostering a culture rooted in craft, curiosity, and collaboration.
• Work closely with Creative Ops to ensure ideas are executed with quality, intention, and efficiency.

What we're looking for:

• 8+ years of experience copywriting and creative leadership, across brand and growth work (agency and/or in-house).
• A portfolio that demonstrates strong campaign thinking, voice development, and exceptional writing craft.
• A clear point of view on taste, storytelling, and what makes creative effective.
• Comfort balancing strategic leadership with hands-on creative direction.
• Experience overseeing or partnering closely with content and editorial teams is a strong plus.
• Confidence presenting and articulating creative rationale to both creative and non-creative audiences.
• A collaborative and growth mindset- you enable others to do their best work.

Compensation and Benefits:

The expected base pay range for this position is $169,000 - $212,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

#LI-RJ1

Engineering Lead

Stone Kite is a world building studio that thoughtfully develops heroic universes across games, film, TV, comics, audio, and more. Built by veterans from game and entertainment studios such as Marvel, Disney, Pixar, Bungie, and Riot, our team leverages expertise and passion to build worlds that matter. 

We’re looking for an experienced engineer to lead a small gameplay engineering team while contributing deeply to the design and implementation of game systems. The ideal candidate brings broad experience across a variety of game engineering areas, deep expertise in at least one domain, and a track record of supporting and mentoring engineers in a collaborative development environment.

This role involves a high degree of creative autonomy. You will need to be able to take initiative and work independently, seek out information and feedback to validate your decisions, and pursue alignment with your team, with other teams, and with the project director. Empathetic communication and feedback skills and a spirit of curiosity are essential for success.

This role is a remote based position. 

What You’ll Do:

Feature Implementation

• Architect, implement, and maintain game features, systems, and tools in Unreal Engine using C++
• Collaborate closely with Design, Art, and Production to translate creative goals into scalable game systems
• Balance rapid iteration with thoughtful reduction of technical debt
• Support team operations including build and deployment systems, server hosting, and internal tooling
• Lead and mentor a small team of IC engineers; provide technical guidance, feedback, and support to help engineers grow and achieve their goals
• In partnership with team and company leadership, implement processes for feedback gathering, goal setting, and performance evaluation for engineers on your team
• Participate in and contribute to the development of engineering team practices including code reviews, documentation and standards to foster a culture of craft excellence

Creative Participation

• Provide feedback for teams working across different forms of media
• Engage in brainstorming, playtests, and feedback sessions to help shape gameplay direction

What You’ll Bring:

• 8+ years of experience in game engineering with at least one shipped title is required
• At least 2+ years of experience managing or formally leading engineers in a team environment is required
• Deep experience with C++ and Unreal Engine or other proprietary C++-based game engines
• Proficiency with Unreal Engine systems and workflows
• Proficiency with source control and build systems used in game development
• Strong collaboration skills and ability to work both autonomously and within a small creative team
• Excellent communication and feedback skills with a passion for quality and excellence
• Ability to adapt and problem solve in a fast-paced startup environment 

What You’ll Get:

• Competitive medical, vision, and dental benefits
• Generous PTO
• Winter break
• 401k Options
• Monthly meals stipend
• Opportunities for learning and development across multiple areas of media and forms of storytelling
• Be a part of an early-stage, innovative team

The expected salary range for this position is $165,000 - $225,000 depending on level and qualifications. The compensation package will also include a range of generous medical, dental, vision and other perks & benefits. Compensation decisions are determined using a variety of job-related factors such as skill set, geographic location, market demands, experience, and education / certifications. If we extend an offer for employment, we will consider all individual qualifications.