Experience Requirements:

• Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)

• Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)

• Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies

• Hands-on experience integrating AI agents and LLMs into production systems

• Proficient with conversational flow frameworks such as LangGraph

Other Requirements:

• Applicants must be authorized to work in the U.S.

• U.S. citizens and Green Card holders are strongly encouraged to apply

Responsibilities:

• Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases

• Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance

• Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment

• Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions

• Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications

Experience Requirements:

• Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)

• Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)

• Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies

• Hands-on experience integrating AI agents and LLMs into production systems

• Proficient with conversational flow frameworks such as LangGraph

Benefits:

• Company-sponsored health insurance plans, including 100% company-paid HDHP

• Vision + dental opt-in

• Unlimited PTO

• Paid company holidays

• Paid winter break

Experience Requirements:

• 1-3 years of high volume recruiting experience preferred

Other Requirements:

• Is detail-oriented, excels at executing intricacies and reviews work thoroughly

• Has impeccable verbal and written communication skills

• Is task-oriented and thorough in task completion

• Is excited about hiring/recruiting and wants to manage this cyclical process

• Is organized (calendar-obsessed list-makers + planners, we want to meet you!)

• Demonstrates critical thinking in order to adapt automated processes to unique situations

• Eagerness to learn, contribute, and grow within a collaborative, fast-paced team

• Interest in media/entertainment industry trends, specifically streaming and digital advertising ecosystems

Responsibilities:

• Post, renew and maintain job ads for assigned positions on multiple job boards

• Actively source and recruit talent for assigned positions in Sifted cities online and in the local community

• Manage the hiring pipeline, including conducting phone screens and making offers of employment

• Complete onboarding on new hires, including orientation meetings and ensuring smooth onboarding in payroll/HRIS

• Assist People Operations Generalist with ad hoc administrative duties as needed

Benefits:

• Medical, dental, vision, life, and disability insurance

• 401k plan

• Monthly allowance for commuting/internet and fitness/wellbeing

• Generous paid time off (sick, personal, vacation, holidays)

• Annual bonuses and long-term incentive plan

Education Requirements:

• Bachelor’s degree in Computer Science, ML/AI, or relevant technical field, or equivalent practical experience

• Ph.D., research background in ML/AI in CS or AI, or relevant technical field (preferred)

Experience Requirements:

• 5+ years experience working in ML

• Experience building, scaling, and optimizing enterprise-grade ML/AI systems

• Experience coding in Python, C/C++, or other similar languages

• Experience communicating AI research and development to non-technical audiences

• Expertise in geospatial AI, such as remote sensing and/or ML for geospatial trajectories

Other Requirements:

• Move fluidly between AI research and production engineering

• Deeply experienced in one or several areas in foundational machine learning research, and production-scale deployment

• Operate with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability

• Enjoy working in a highly collaborative environment

Responsibilities:

• Advancing foundation models for geospatial intelligence

• Addressing domain adaptation, low-resource settings, and high-impact decision-making

• Minimizing the cost of annotating high-quality, large-scale geospatial datasets

• Scaling model training and inference responsibly, efficiently, and cost-effectively

• Building robust AI-first tools that enable scientists, policymakers, and conservationists to generate actionable intelligence

Benefits:

• Medical, Vision, and Dental plans

• Voluntary Life and AD&D for self and spouse/domestic partner

• Voluntary Short-Term and Long-Term Disability Insurance

• 401(k)

• Paid Time Off

Experience Requirements:

• Proven experience in Business, Sales, Marketing, or a related field

• At least 2 years of accounting experience (preferably in a customer-facing role)

• 2+ years of experience in a sales role, preferably within SaaS or startup environments

• Strong track record of meeting and exceeding sales targets

Other Requirements:

• Excellent communication and negotiation skills, with the ability to tailor messages to different audiences

• Comfortable working in a fast-paced, dynamic environment

• Self-motivated, goal-oriented, and able to work independently

• Experience with accounting software and/or financial technology is a plus

• Familiarity with CRM systems (e.g., Salesforce, HubSpot)

Responsibilities:

• Identify and research potential leads within the accounting industry

• Conduct sales presentations and product demonstrations to prospective clients

• Manage the sales process from initial engagement to closing

• Build strong, long-lasting relationships with clients

• Meet or exceed sales targets and KPIs

Experience Requirements:

• 3+ years experience working with Unix Linux systems from kernel to shell and beyond

• 3+ scripting experience in Shell and Python

• 2+ years of Kubernetes experience

Responsibilities:

• Create, manage and integrate software to automate and secure Kubernetes environments

• Develop solutions that can support large capacity and scale reliably, in a 24/7 environment

• Collaborate with the Information Security and Software development teams to support operational capabilities

Experience Requirements:

• 2+ years experience with real life classic Machine Learning experimentation

• Production grade modeling experience

Responsibilities:

• Supporting our customers with their data science experimentations

• Delivering 100 level introduction to Data Scince training

Experience Requirements:

• 2+ years experience with Python

• Experience with Airflow or similar orchestration engines

Responsibilities:

• Supporting our customers build their data pipelines using Practicus AI

Experience Requirements:

• 2+ years experience building applications with impressive user experiences

• 2+ years of Python experience for both QT and Django roles

• For Django only: HTML, Javascript, CSS experience

Responsibilities:

• Building our QT based App forWindows, macOS and Linux

• OR Building our Django based web application

Experience Requirements:

• 5+ years experience in building distributed backend systems

• 2+ years Big data experience

• 2+ years Python experience

Responsibilities:

• This is an umbrella role for different types of backend applications including;

• Our macOS, Windows and Linux applications

• Micro services development for our web applications

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 4+ years of work experience selling cloud-based software products, preferably at a high growth start-up or large enterprise

• Proven ability to work long workweeks when needed

• Deep interest in machine learning and AI

• Successful in building relationships; customer obsessed

• Highly self-motivated and have demonstrated success in a competitive environment

Other Requirements:

• Strong team player, but can work and execute independently

• Excellent written and verbal communication skills

• Driven

• Hungry to learn and actively look for opportunities to contribute

• Highly organized and detail-oriented; can handle multiple projects and dynamic priorities without missing a beat

Responsibilities:

• Partner with Business Development Team to research, identify, and generate new business opportunities in order to build and manage a robust sales funnel

• Thoroughly analyze target markets for key use verticals, and execute effective sales tactics to drive expansion opportunities within both existing and potential customer base

• Host events to nurture existing client relations as well as enhance awareness of Hive’s products/services to new markets

• Work closely with Hive’s senior leadership team to build and maintain alignment on business priorities

• Manage complex sales process end-to-end, from lead generation to negotiating deals to onboarding, while providing excellent customer service

Benefits:

• You get excited and take pride in working on something that is changing people's lives for the better.

• You are energetic, willing to put in the work and enjoy the fast-paced nature of a startup.

• You love animals and are familiar - or want to get deeply familiarized - with the veterinary medicine industry.

• As an early-stage member of the team, you get to influence the product, the direction of the company, hiring, and the forming of new teams

Experience Requirements:

• 1+ years

Benefits:

• Competitive rewards package

• Unparalleled career growth opportunities

• Supportive, fun and engaging culture

• Office hubs across the globe

• Flexible vacation time

Education Requirements:

• Bachelor’s Degree or higher

Experience Requirements:

• 7+ years of Digital Commerce and CPG/FMCG experience

Other Requirements:

• Industry leading domain expertise in both Retail and Media functions

• Excellent communication and interpersonal skills

• Solution oriented mindset

• Strong team management experience

• Comfortable with ambiguity

• Results driven with strong customer focus

• Team player

• Intellectually curious

• Bias for action

• Proactive and independently motivated

Responsibilities:

• Lead the designated clients at Flywheel

• Collaborate with Omnicom leaders

• Interface directly with Amazon and other retailers

• Constantly seek ways to improve team’s operating efficiency

• Collaborate with Flywheel leaders

Benefits:

• Health insurance (100% medical, dental, vision)

• 401k with matching

• Flexible vacation policy

• Scooter reimbursement

• Orca card sponsorship (if you prefer bussing over scooting!)

Benefits:

• Health insurance (100% medical, dental, vision)

• 401k with matching

• Flexible vacation policy

• Scooter reimbursement

• Orca card sponsorship (if you prefer bussing over scooting!)

Benefits:

• Base salary + commission plan (50-50 OTE split)

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

• 10 Paid Holidays

Experience Requirements:

• 3+ years of experience as an account executive in SaaS sales

• experience navigating six to seven figure ACV sales processes with large, complex customer prospects

• experience working in early-stage startups and are comfortable navigating ambiguity

Other Requirements:

• entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment

• top performer in your current role, with strong communication skills and a consultative sales approach

• technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation

• team-first mindset and are eager to help others succeed while simultaneously driving your own results

Responsibilities:

• Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals

• Work both inbound leads generated by the SDR team and self-sourced opportunities

• Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved

• Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting

• Achieve and exceed ambitious monthly quotas, demonstrating consistent performance

Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Benefits:

• Medical, dental & vision insurance coverage

• Unlimited PTO

• WFH stipend for home office

• Relocation stipend

Experience Requirements:

• 3+ years of work experience

Other Requirements:

• Dedication to your craft and a willingness to get your hands dirty

• Track record shipping

• Strong technical skills; experience with React, Python, containerized applications, and Azure is a plus

• Strong interpersonal skills and ability to communicate deeply technical information simply

Responsibilities:

• Design, develop, and ship features that make our product better and more complete

• Work closely with our largest customers to problem-solve technical hurdles

• Help customize and integrate our software to best match our customers’ needs

Benefits:

• Healthcare (medical & dental)

• Unlimited PTO

• Equity compensation

Education Requirements:

• 4-year degree from top university

Experience Requirements:

• 1-3 years of experience in investment banking, consulting, or operations at early-stage startups

Other Requirements:

• Early evidence of exceptionalism

• High aptitude & strong work-ethic

• Great interpersonal and communication skills

• Strong, genuine interest in public safety and Aurelian’s work

• Growth mindset

Responsibilities:

• Take business objectives, break them down into constituent parts and execute

• Own and manage complex cross-functional projects

• Research and solve ‘green’ problems that are new to Aurelian

Education Requirements:

• PhD in computer science, applied math, electrical engineering, or similar

Experience Requirements:

• Strong background in computer vision, machine learning and python programming

• Experience with OpenCV, PyTorch and TensorFlow

• Publications in major computer vision conferences

Responsibilities:

• Develop tools and techniques for detecting and segmenting store products in images and videos

• Build automatic checkout systems