Responsibilities:

• Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text data.

• Watch out for the release of public high quality VLM datasets.

• Create and maintain synthetic data augmentation pipeline to enhance VLM data quality.

• Work with the multimodal vision team to run ablations on new dataset.

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401(k) plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• Bachelor’s degree in Business, Marketing, or a related field, or equivalent practical experience.

Experience Requirements:

• Proven experience in a sales or business development role, preferably within a startup or fast-paced environment.

• Strong communication skills, both written and verbal, with the ability to engage and persuade potential clients

• Experience with CRM software (e.g., Salesforce, HubSpot, Attio) and sales engagement tools

Responsibilities:

• Generate new business pipeline primarily through prospecting outbound opportunities

• Manage inbound leads that are driven by outbound effort

• Nurture early-stage opportunities

• Partner with your AE to identify and source net new pipeline and assist by researching lines of business and personas

• Identify key decision makers within new accounts

Education Requirements:

• Bachelor’s Degree in Engineering, Computer Science, or a technical field.

Experience Requirements:

• 3+ years of working experience in a technical role interfacing with technical and non-technical folks.

Responsibilities:

• Build, deploy, and maintain Python automation scripts and other tools to streamline the data annotation process, automate repetitive tasks, and reduce manual effort.

• Identify bottlenecks in the data labeling pipeline and implement solutions to enhance throughput, accuracy, and scalability of labeling operations.

• Work closely with the Project Management team to ensure that data labeling meets accuracy standards and troubleshoot any issues related to data quality.

• Plan quality assurance workflows to use GenAI and open-source models to find data anomalies.

• Set up monitoring tools to track the performance of data annotation operations, reporting key metrics and areas for improvement to leadership.

Experience Requirements:

• 1-2 years of sales experience

Responsibilities:

• Manage your own sales and meetings pipelines in a specified territory

• Discover new sales leads based on industry & account research (Linkedin Sales Navigator, ZoomInfo, internet research, etc)

• Create strategic outreach campaigns (calls, emails, Linkedin, social selling, etc)

• Qualify prospects/accounts through email, phone, Linkedin, etc

• Manage prospects, accounts, and opportunities in Salesforce

Experience Requirements:

• 2+ years of closing sales experience at a technology company and experience closing 6-7 figure enterprise contracts.

• Experience managing a consultative sales cycle with executives at Fortune 50 companies.

Responsibilities:

• Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships.

• Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services.

• Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client.

• Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts.

• Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals.

Benefits:

• Medical

• Dental

• Vision

• Professional development

• Employee paid life & disability life insurance policy. An insurance policy pays a sum of money either on the death of an insured person or after a set period.. Disability insurance replaces a portion of your income if you can't work because of illness or injury. disability insurance - provides a monthly income if you become disabled as a result of illness or accident. Paid time off - is paid time away from work that employees can use for any reason - vacation, illness, or appointments.Paid sick leave - is paid time off from work that workers can use to stay home to recover from an illness or to care for a sick family member.Paid vacation - is paid time off from work that workers can use for any purpose, such as vacation, rest, or relaxation. Paid holidays - are paid days off from work that workers get for holidays, such as New Year's Day, Memorial Day, and Christmas. Parental leave - is paid or unpaid time off from work to care for a new child. Bereavement leave - is paid or unpaid time off from work to grieve the death of a loved one. Jury duty leave - is paid or unpaid time off from work to serve on a jury. Military leave - is paid or unpaid time off from work for military service. Voting leave - is paid or unpaid time off from work to vote.

Responsibilities:

• Ensure that robotic systems operate successfully in customer use cases via teleoperation with a focus on data gathering and data generation.

• Run robotic systems continuously throughout the day, identifying bugs and technical issues and generating collected data for ongoing improvements.

• Operate teleoperation equipment as needed to guide the robot through specific behaviors.

• Follow proper equipment and robot maintenance procedures, including setup and operation.

Experience Requirements:

• 1+ years

Benefits:

• Competitive salary and equity

• Work remotely, no commuting to the office

• 21 days paid vacation

• Company-sponsored team retreats, events, and meals

• Comprehensive health benefits, including medical, dental, vision, mental health, and monthly wellness stipend. M1 Macbook Pro, 4K display, accessories, and a monthly AI stipend to explore new tools Comprehensive family benefits, including 16 weeks paid family leave and support for IVF, egg freezing, adoption, and childcare

Experience Requirements:

• Have experience leading the architecture of projects, services, and teams.

• Have experience managing, deploying, and scaling infra in large-scale environments.

• Are a self-starter with the ability to work independently and solve complex problems. Prior founder or startup experience is a plus.

• Are open-minded to using state-of-the-art tools.

• Are well-versed in systems thinking.

Responsibilities:

• Report directly to our CEO and work closely with our Founding Engineer, Lead UX Designer, and CEO to architect and build backend systems that integrate state-of-the-art artificial intelligence to enable intelligence in our product.

• Lead architecture and implementation of our core infrastructure and sync systems.

• Build the backend for user-facing features that enable integrated, context-aware, and proactive personal knowledge assistance.

• Tackle challenging backend problems from end-to-end, such as local-first sync, collaborative rich text editing, data ingestion and processing, real-time recommendation, and LLM-augmented information indexing, retrieval, and discovery.

• Improve observability, monitoring, and alerting so that we can most effectively respond to operational incidents.

Benefits:

• Competitive salary + Equity

• Health, dental, and vision insurance.

• Bonuses based on performance

• We are a company founded by immigrants, and we are committed to providing support to immigrant workers throughout their journey.

Experience Requirements:

• Experience in end-to-end ML application development, including data engineering, model tuning, and model serving

• Experience contributing to the architecture and design of resilient, large scale distributed ML systems

• Strong understanding of ML development technologies such as Pytorch, Transformers, Cuda etc.

• Strong understanding of ML inference technologies such as vLLM, Ray, llama.cpp etc.

Other Requirements:

• Strong understanding of IaC technologies like Docker, Kubernetes, Nomad, Terraform and Firecracker

• Strong understanding of public cloud features (e.g. SDN, block storage, distributed file systems, identity management)

• Enjoy moving fast and making a large business impact

Benefits:

• Opportunity to own the product design as our first full-time designer

• Unlimited PTO and 11 paid holidays

• Full health coverage (medical, dental, and vision)

• Daily office provided lunches and dinners

• Remote/hybrid-friendly work environment

Experience Requirements:

• 3-7 years of experience in product design, with a strong portfolio showcasing end-to-end product design.

Responsibilities:

• End-to-end design. You’ll help define early product concepts, flesh out the high-level workflow and micro-interactions of a feature, and execute on a crisp and effective visual design.

• Rapid prototyping. Ability to move quickly from lo-fi to high-fi and back again. Ideally, we test every assumption and only build a subset of our designs. Great prototypes will drive product discovery.

• Engineering partner. Work closely with product and forward deployed engineers to ensure designs seamlessly integrate with our engineering process.

Experience Requirements:

• 5+ years design experience within an agency or in-house creative department

• Proven experience in graphic design within a media marketing context

Responsibilities:

• Conceptualize and produce visually striking branded assets tailored for various marketing channels such as LinkedIn, YouTube, TikTok, Instagram and others

• Help to formulate our internal visual design strategy, and ensure visual design excellence

• Design branded emails that engage our customers throughout the customer journey

Experience Requirements:

• You have a knack for building intuitive UIs and seamless user experiences.

• You blend design thinking with solid engineering skills.

• You enjoy iterating quickly based on real user feedback.

Experience Requirements:

• You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.

• You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.

• You’re a systems thinker who loves optimizing at every level of the stack.

Experience Requirements:

• You’ve trained, fine-tuned, or served state-of-the-art deep learning models.

• You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.

• You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.

Education Requirements:

• bachelor’s degree

Experience Requirements:

• two to five years of inside sales / telemarketing experience delivering quality CXO (CEO, CFO, CIO, etc.) business leads to highly motivated enterprise sales executives, and managing existing CXO relationships.

• Some expertise in industrial value chain operations (supply chain, maintenance, military, manufacturing, field services) is expected.

Benefits:

• 401k Benefits

• Lunch provided

• Health Insurance

• Dental Insurance

• Vision Insurance

Experience Requirements:

• 3+ years

Responsibilities:

• building and optimizing a high-performance data ingestion and processing pipeline for LLM-powered financial applications

• developing scalable, low-latency ingestion systems that handle millions of structured and unstructured financial documents

Benefits:

• 401k Benefits

• Lunch provided

• Health Insurance

• Dental Insurance

• Vision Insurance

Experience Requirements:

• 3+ years

Responsibilities:

• develop a high-quality, low-latency retrieval augmented generation (RAG) on top of millions of complex documents

• lead the implementation of custom embeddings, rankers, and hybrid search

Benefits:

• Equity

Experience Requirements:

• Top-tier management consulting or similar professional client service experience

• Experience in business development or strategic partnerships

• Domain expertise in AI, advanced manufacturing and/or semiconductors

Other Requirements:

• Exceptional written, verbal, and interpersonal communication skills

• Entrepreneurial mindset with a strong sense of ownership, high level of motivation to succeed, and adaptability to fast-paced environments

• Willingness to travel domestically and internationally as required

• Operating experience in a startup or similar entrepreneurial environment

• Degree in engineering, science, or computer science

Responsibilities:

• Developing Normal's GTM strategy in collaboration with cross-functional teams, and driving its execution, from outreach to deal closure and partnership success with enterprise organizations.

• Working closely with customers to understand their needs and objectives, and position Normal as a transformation partner to address their business goals.

• Gaining a deep understanding of the enterprise AI landscape and Normal’s relevant application landscape in advanced manufacturing, defining market positioning and key customer segments, creating messaging and sales collateral, and driving the execution of marketing and business development initiatives.

• Building and maintaining a growing enterprise partnership ecosystem, managing sales pipeline activities through robust processes and tools.

• Driving cross-functional coordination with internal stakeholders including engineering, product, marketing, legal and finance to ensure partnership success.

Benefits:

• 100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents

• Health & wellness app reimbursement

• On-site gym

• Free lunch

• 12 company holidays and flexible time off Generous parental leave: 18 weeks for birth parents and 12 weeks for non-birth parents Hybrid work environment: 3 days a week onsite and two days work from home Twice yearly multi-day offsites Safe harbor matching 401(k) Tax Advantaged Accounts including FSA, Dependent Care FSA, HSA, and commuter benefits Employer Paid Basic Life & AD&D Short Term and Long Term Disability

Education Requirements:

• PhD in biological sciences

Experience Requirements:

• at least 5-year experience in RNA-targeted small molecule discovery

• Proven hands-on experience in working with RNA targets and related screening technologies including but not limited to ASMS, ALIS, Microarray, SPR, ITC.

• Ability to evaluate newer methods as appropriate and implement novel approaches to screen RNA as needed.

• Ability to independently drive, manage, execute, and deliver results on key programs under tight timelines.

• Ability to work in a collaborative environment to enable integration of state-of-the-art technology platform with RNA biology to accelerate the program pipeline.

Responsibilities:

• Work with company leadership to advance our strategy for targeting RNA with small molecules and RNA degraders.

• Develop RNA screening strategy, establish screening platform and relevant technologies internally and/or in collaboration with external partners including but not limited to ASMS, Microarray, SPR, ITC, and/or other relevant biophysical methods. In addition, evaluate any new methods and implement them as necessary.

• Enable RNA-directed small molecule drug discovery efforts. Establish validated processes for small molecule hit ID, validation, and lead optimization for RNA targets. Deliver on program requirements in a timely manner.

• Collaborate with the drug discovery, ML data and ML teams to build an integrated workflow to support RNA biology programs.

• Provide scientific leadership and perform day-to-day lab activities.

Education Requirements:

• B.S. degree in Business Administration, Engineering, or comparable degree/experience.

Experience Requirements:

• 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.

• 2+ years experience as a lead project manager, preferably in a technology or consulting environment.

• Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.

• Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.

• Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.

Responsibilities:

• Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.

• Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.

• Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.

• Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.

• Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.